This document provides course descriptions for several quantitative methods courses offered at Aalto University. The courses cover topics including mathematics, statistics, econometrics, optimization, and simulation. They range from introductory to advanced levels. The courses include lectures, exercises, exams, projects and literature. Assessment is based on exercises, exams, and in some cases projects. Prerequisites include prior quantitative coursework. The courses aim to provide students with skills in quantitative analysis for business, economics and further studies.
Are Remedial courses Effective for Engineering Incoming Students?Raúl Martínez López
1) A remedial math course was offered to incoming engineering students to address high dropout rates.
2) Students who took the course (the studio group) had significantly higher average marks and success rates compared to students who did not take the course (the control group).
3) A statistical analysis found the studio group outperformed the control group across compulsory subjects, demonstrating the effectiveness of the remedial course.
This lesson plan teaches secondary 3 students how to sketch exponential and logarithmic graphs using Graphmatica software. Students will work individually on computers to sketch graphs, indicating asymptotes and intercepts. They will analyze patterns to deduce shapes of other graphs. The lesson aims to develop analytical and problem solving skills. Students are assessed based on their ability to correctly complete a homework worksheet applying concepts from the lesson.
The document provides guidelines for students submitting an assignment on the use of manipulatives in teaching elementary mathematics. It outlines that the assignment should discuss two mathematical topics from the primary curriculum and describe examples of manipulatives used for each topic. Students must elaborate on activities using the manipulatives and their impact on learning concepts. They should also suggest ways to promote successful learning when using concrete manipulatives. The assignment will be evaluated based on criteria such as the description of manipulatives and activities, and account for 40% of the course grade.
This document describes a strategy to help engineering students improve their math skills and performance on exams. The strategy involved providing an extra weekly classroom session for students who had failed calculus exams multiple times, where they worked through practice problems with teacher supervision. Compared to a control group, these students had a lower dropout rate, fewer blank answers and higher average scores on exams, showing the strategy was effective in building their math abilities and confidence.
This ppt was prepared for an intreactive session with the BCA final year students of my college on April 2016.Hence,all the info given are valid on April 2016.However,this can be used as a directory to MCA Entrance EXams in India.
The document provides information about the MATH1131 and MATH1141 courses offered in semester 1 2012 at UNSW, including:
- The courses cover algebra and calculus topics and are worth 6 units of credit. MATH1131 has assumed knowledge of HSC Mathematics, while MATH1141 is for students with higher HSC scores.
- Lectures are provided in 4 groups for MATH1131 and 2 groups for MATH1141, covering both algebra and calculus. Tutorials are also provided to help students with problems.
- Assessment includes tests, assignments and exams. Computing tests are also included to demonstrate skills with Maple software. Support is available for students through the Student
The document summarizes the key aspects of the Common Core State Standards for mathematics. It describes the development and adoption process, benefits for states, characteristics of the standards, and their focus on coherence, clarity, and rigor. It also provides examples of the mathematical practices and standards format for different grade levels.
Maersk Mc-Kinney Moller Institute.
Prerequisites:
T-FYE: Physics and electronics and h-MAT1: Mathematics 1 or equivalent.
Content:
- Mechanical systems: Kinematics, dynamics, energy, power and efficiency.
- Electrical systems: Circuit theory, components, signals.
- Electromechanical systems: Motors, generators, actuators, sensors and control.
- Design methodology: Problem formulation, concept generation, evaluation and realization.
- Project work: Design, construction and test of an electromechanical system.
Objectives:
Knowledge:
The student must be able to:
- Explain basic principles of mechanics, electricity and control.
Are Remedial courses Effective for Engineering Incoming Students?Raúl Martínez López
1) A remedial math course was offered to incoming engineering students to address high dropout rates.
2) Students who took the course (the studio group) had significantly higher average marks and success rates compared to students who did not take the course (the control group).
3) A statistical analysis found the studio group outperformed the control group across compulsory subjects, demonstrating the effectiveness of the remedial course.
This lesson plan teaches secondary 3 students how to sketch exponential and logarithmic graphs using Graphmatica software. Students will work individually on computers to sketch graphs, indicating asymptotes and intercepts. They will analyze patterns to deduce shapes of other graphs. The lesson aims to develop analytical and problem solving skills. Students are assessed based on their ability to correctly complete a homework worksheet applying concepts from the lesson.
The document provides guidelines for students submitting an assignment on the use of manipulatives in teaching elementary mathematics. It outlines that the assignment should discuss two mathematical topics from the primary curriculum and describe examples of manipulatives used for each topic. Students must elaborate on activities using the manipulatives and their impact on learning concepts. They should also suggest ways to promote successful learning when using concrete manipulatives. The assignment will be evaluated based on criteria such as the description of manipulatives and activities, and account for 40% of the course grade.
This document describes a strategy to help engineering students improve their math skills and performance on exams. The strategy involved providing an extra weekly classroom session for students who had failed calculus exams multiple times, where they worked through practice problems with teacher supervision. Compared to a control group, these students had a lower dropout rate, fewer blank answers and higher average scores on exams, showing the strategy was effective in building their math abilities and confidence.
This ppt was prepared for an intreactive session with the BCA final year students of my college on April 2016.Hence,all the info given are valid on April 2016.However,this can be used as a directory to MCA Entrance EXams in India.
The document provides information about the MATH1131 and MATH1141 courses offered in semester 1 2012 at UNSW, including:
- The courses cover algebra and calculus topics and are worth 6 units of credit. MATH1131 has assumed knowledge of HSC Mathematics, while MATH1141 is for students with higher HSC scores.
- Lectures are provided in 4 groups for MATH1131 and 2 groups for MATH1141, covering both algebra and calculus. Tutorials are also provided to help students with problems.
- Assessment includes tests, assignments and exams. Computing tests are also included to demonstrate skills with Maple software. Support is available for students through the Student
The document summarizes the key aspects of the Common Core State Standards for mathematics. It describes the development and adoption process, benefits for states, characteristics of the standards, and their focus on coherence, clarity, and rigor. It also provides examples of the mathematical practices and standards format for different grade levels.
Maersk Mc-Kinney Moller Institute.
Prerequisites:
T-FYE: Physics and electronics and h-MAT1: Mathematics 1 or equivalent.
Content:
- Mechanical systems: Kinematics, dynamics, energy, power and efficiency.
- Electrical systems: Circuit theory, components, signals.
- Electromechanical systems: Motors, generators, actuators, sensors and control.
- Design methodology: Problem formulation, concept generation, evaluation and realization.
- Project work: Design, construction and test of an electromechanical system.
Objectives:
Knowledge:
The student must be able to:
- Explain basic principles of mechanics, electricity and control.
The document discusses Microsoft's data collection and sharing practices in Windows 10, including mining user data to show targeted ads. It asks questions about preferences between targeted and generic ads, whether targeted ads have ever been helpful, and comfort levels with Windows 10's data collection features. It also asks about home internet connections and willingness to share an internet connection using Wi-Fi Sense. Viewers are invited to provide more questions, comments, or watch a video on changing privacy settings.
This document defines and provides examples of mixtures, solutions, suspensions, and colloids. It explains that mixtures can be physically separated into their original substances, while solutions appear homogeneous but are mixtures of a solute dissolved in a solvent on a molecular level. Suspensions and colloids are heterogeneous mixtures where particles settle out or scatter light differently. The document also defines elements as pure substances that cannot be broken down further, and compounds as pure substances formed by a chemical combination of elements in fixed ratios that have properties distinct from the original elements.
The document provides information on various PIR (passive infrared) sensor models for lighting control, including flush-mounted and surface-mounted options. Key details described include detection patterns/ranges, time delay settings, load capacities, mounting instructions, and technical specifications. Superior PIR models add features like dual circuits, remote programming, and photocell regulation for maintained light levels.
This document discusses physical and chemical properties of matter. Physical properties can be observed or measured without changing the identity of the substance, such as boiling point, melting point, color, odor, and hardness. Physical changes alter the physical form of matter without changing its chemical makeup, like boiling, freezing, or bending. Chemical properties describe a substance's ability to undergo chemical reactions, like flammability or reactivity. Chemical changes result in one or more new substances forming, indicated by signs like color changes, gas production, or precipitation. The key difference is that physical changes do not alter the composition of matter, while chemical changes do.
El documento presenta un plan de clase de 45 minutos sobre el tema de la circunferencia. Los objetivos son definir la circunferencia, identificar sus elementos, fomentar el trabajo en equipo y promover la reflexión. La clase consiste en una actividad en grupos, corrección y definición formal de circunferencia.
This chapter reviews prominent theories of economic development from early views to contemporary models. It discusses the evolution of development goals from a narrow focus on GDP growth to broader objectives incorporating quality of life, sustainability, and the UN's Millennium Development Goals. Classical theories described stages of growth and structural change as countries shift labor from agriculture to industry. Contemporary theories include new growth theory and theories of coordination failure.
1) The document discusses lessons learned from managing independent film projects based on the author's experience as an executive producer.
2) It describes three case studies ("Alpha," "Beta," and "Gamma") that illustrate challenges in managing the development, production, and distribution stages of projects when control is limited.
3) The "Alpha" case highlights issues that arose when a writer/director took longer than expected to deliver draft scripts, forcing the producer to send an interim script to casting calls and film markets prematurely, hindering financing.
Does biomass partitioning differ between plant functional types? Analysis of ...remkoduursma
Presentation for ESA (Baltimore), 2015, "Does biomass partitioning differ between plant functional types? Analysis of a global biomass and allometry database (BAAD)" by Remko Duursma and Daniel Falster
This document provides course descriptions for several quantitative methods courses offered at Aalto University. The courses cover topics including mathematics, statistics, econometrics, optimization, and simulation. They range from introductory to advanced levels. Assessment methods typically include lectures, exercises, exams, and some courses include projects. Required textbooks and literature are also listed for each course.
This resume is for Jonathan Montemayor, an architectural and graphic designer from the Philippines. He has over 15 years of experience in design fields like architecture, graphics, and web design. He is seeking a position that allows him to conceptualize and develop architectural and graphic solutions for commercial and residential clients. He has a bachelor's degree in architecture and certifications in software like AutoCAD, Adobe Creative Suite, and 3D modeling programs. His experience includes positions at construction, cement, and automotive companies where he performed tasks like drafting, graphic design, and website development.
The MAX6603 is a dual-channel signal conditioner that amplifies signals from two external platinum RTD temperature sensors and provides the temperature information as two independent analog output voltages. It excites the RTDs with a constant current, amplifies the signal, and provides a ratiometric output voltage that is compatible with microcontroller ADCs. The device monitors the RTDs for faults and will assert diagnostic outputs low if a fault is detected on either input. It is available in a small 10-pin package and operates over an automotive temperature range from a single power supply.
This chapter reviews prominent theories of economic development from early views to contemporary models. It discusses the evolution of development goals from a narrow focus on growth to broader conceptions of quality of life and sustainability. Key classical theories described include linear stages of growth models, structural change models, and international dependence models. Contemporary theories addressed include new growth theory and coordination failure theory. The chapter concludes by examining implications of changes in development thinking for studying challenges facing developing nations.
Physical science involves the study of matter and energy. Chemistry examines all forms of matter, while physics analyzes how energy affects matter. The scientific method is used to systematically answer questions through hypothesis testing, experimentation, analysis, conclusions, and communication of results. Key terms in the scientific method include the independent variable, which is manipulated to cause change, and the dependent variable, which is measured. Models are used to represent objects or systems, and can be physical, mathematical, or conceptual representations. Scientific laws summarize experimental results, while theories provide explanatory frameworks for observations and hypotheses.
This document provides an overview of project management phases and methods according to a traditional waterfall model. It describes the six main phases of project management: initiation, definition, design, development, implementation, and follow-up. The document emphasizes gathering requirements from stakeholders, developing clear agreements, and choosing definitive designs and plans in the early phases to help guide the project and manage expectations. It also highlights challenges such as unclear expectations, uninvolved end users, and lack of approval processes that can lead to issues down the road. Overall the document presents a phased project management approach and lessons learned.
This document discusses expanding herbicide options for weed management in natural areas. It outlines the IR4 Project process for developing data to support new EPA approvals of herbicide uses. Several potential herbicide prospects are identified, including mesotrione, which could provide a new mode of action for resistance management of winter annual grasses and broadleaves. However, obtaining approvals for natural areas uses faces challenges like demonstrating effectiveness for diverse conditions and review of potential nontarget impacts. Industry may be hesitant due to the small market size and liability risks compared to agricultural uses.
El documento presenta un plan de clase de 45 minutos sobre el tema de la circunferencia. Los objetivos son definir la circunferencia, identificar sus elementos, fomentar el trabajo en equipo y promover la reflexión. La clase consiste en una actividad grupal, corrección y definición formal de circunferencia.
This document provides an overview of Locobase, a database created by Steve Llanso that contains information on over 14,500 steam locomotives from around the world between 1825 to present day. It describes the purpose and goals of Locobase, which is to preserve dimensional data and historical context of steam locomotive designs. It outlines Locobase's extensive sources, contributors, and growth over time. It provides examples of the level of detail in Locobase entries and discusses Llanso's future ambitions to continue expanding Locobase and using it to explore the important role of steam locomotives in history.
Erica Jane Makar is seeking opportunities in public health. She has a Bachelor of Science in Public Health and International Development and Cell and Molecular Biology from Tulane University. Her experience includes conducting research at Tulane University and the University of Maryland School of Medicine. She has also volunteered with organizations focused on sanitation, education, and community outreach in the United States, Chile, India, and Honduras.
This document outlines the development of atomic theory from ancient Greek philosophers to modern physics. It describes key contributors such as Democritus, Dalton, Thomson, Rutherford, Bohr, and Schrodinger who proposed models of the atom based on experiments. The modern atomic theory is that atoms contain a nucleus of protons and neutrons surrounded by electrons in electron clouds, and that elements are defined by their atomic number while isotopes differ in neutron number. The four fundamental forces that act on atoms are also summarized.
This user manual provides an overview of the features available to free and paid users on the TenderTiger website. As a free user, one can view certain free tenders, tender briefs, and sections. Paid subscribers gain access to tender details, documents, alerts and a customized dashboard. The document describes the tender search tools, various subscription plans for individuals and corporates, and services offered like hosting tenders, advertising, and eProcurement solutions. Contact information is provided for sales support.
This document outlines a course on Additional Mathematics-II for lateral entry students to engineering programs. The course aims to provide concepts in linear algebra, differential equations, probability theory, and numerical methods. It consists of 5 modules taught over 40 hours. Assessment includes three tests, two assignments, and a seminar, with a minimum 40% overall required to pass. Suggested learning resources include textbooks and online materials. Teaching methods incorporate group work, problem-based learning, and relating concepts to real-world applications.
Teaching Block 2 – Research MethodsFaculty of Busi.docxssuserf9c51d
Teaching Block 2 – Research Methods
Faculty of Business and Law
Postgraduate Modular Finance Scheme (PGMFS)
BA7032 Financial Modelling and Research Methods
(Research Methods Part)
BA7033 Research Project
MODULE HANDBOOK
2017-2018
Module team: Dr George Alexandrou
Dr Salma Ibrahim
Dr Natalia Isachenkova
Dr Mohamed Nurullah
Table of Content
Page
Module Descriptor3
Brief Introduction to the Module: Subject Matter and Structure3
PART ONE: FINANCIAL MODELLING
1.1 Objectives for Part One …………………………………………………..………………….6
1.2 Learning Outcomes for Part One ………………………………………………………….. .6
1.3 Prerequisite Skills…………………………………………………………………………… ..6
1.4 Textbooks for Part One……………………………………………………………………….6
1.5 Approach to Teaching and Learning in Part One ………………………………………....7
1.6 Programme of Lab Session Topics in Part One………..… ……………………………….7
1.7 Feedback and Assessment in Part One ………………….……………………………… ..8
1.8 Student Commitment ………………………………………………………………………. . 9
1.9 Communication ………………………………………………………………………. …….. 9
PART TWO: RESEARCH METHODS
2.1Key dates and lecture programme10
2.2Your dissertation6
2.3Becoming an effective researcher7
2.4Avoiding cheating and plagiarism8
2.5Learning resources9
3.Supervision10
3.1Student/supervisor expectations10
3.2Meetings11
3.3Communications12
4.Preliminary research proposal12
4.1Required12
4.2Submission12
4.3Guidance13
4.4Assessment criteria13
5.Final Research proposal14
5.1Required14
5.2Submission15
5.3Guidance15
5.4Assessment criteria16
6.Dissertation16
6.1Required16
6.2Submission17
6.3Guidance18
6.4Assessment criteria20
2
ii
Module descriptor
MODULE CODE: BA7032 LEVEL: 7 CREDITS: 30
TITLE: Financial Modelling and Research Methods
PRE-REQUISITES: None
CO-REQUISITES: BA7033 Research Project
MODULE SUMMARY (INDICATIVE)
The Financial Modelling and Research Methodsmodule is a core module for the postgraduate modular finance scheme. The module has two parts. The first part provides an underpinning and understanding of numerical techniques used in the business and finance world to aid strategic decision making. It aims to provide students with the accounting, mathematical and statistical foundations that are necessary in the areas of accounting and finance. The second parts deals with an understanding of research methodology and the research methods and skills that the students will need to complete their research project successfully during the summer period.
AIMS(DEFINITIVE)
The aims of this module are to:
· develop an underpinning and understanding of numerical techniques used in the accounting and finance world to aid strategic decision making;
· enable students with the accounting, mathematical, and statistical foundations that are necessary in the areas of accounting and finance;
· provide students with computer and research skills required by employers in this highly competitive sector.
LEARNING OUTCOMES(DEFINITIVE)
On successful completion ...
The document discusses Microsoft's data collection and sharing practices in Windows 10, including mining user data to show targeted ads. It asks questions about preferences between targeted and generic ads, whether targeted ads have ever been helpful, and comfort levels with Windows 10's data collection features. It also asks about home internet connections and willingness to share an internet connection using Wi-Fi Sense. Viewers are invited to provide more questions, comments, or watch a video on changing privacy settings.
This document defines and provides examples of mixtures, solutions, suspensions, and colloids. It explains that mixtures can be physically separated into their original substances, while solutions appear homogeneous but are mixtures of a solute dissolved in a solvent on a molecular level. Suspensions and colloids are heterogeneous mixtures where particles settle out or scatter light differently. The document also defines elements as pure substances that cannot be broken down further, and compounds as pure substances formed by a chemical combination of elements in fixed ratios that have properties distinct from the original elements.
The document provides information on various PIR (passive infrared) sensor models for lighting control, including flush-mounted and surface-mounted options. Key details described include detection patterns/ranges, time delay settings, load capacities, mounting instructions, and technical specifications. Superior PIR models add features like dual circuits, remote programming, and photocell regulation for maintained light levels.
This document discusses physical and chemical properties of matter. Physical properties can be observed or measured without changing the identity of the substance, such as boiling point, melting point, color, odor, and hardness. Physical changes alter the physical form of matter without changing its chemical makeup, like boiling, freezing, or bending. Chemical properties describe a substance's ability to undergo chemical reactions, like flammability or reactivity. Chemical changes result in one or more new substances forming, indicated by signs like color changes, gas production, or precipitation. The key difference is that physical changes do not alter the composition of matter, while chemical changes do.
El documento presenta un plan de clase de 45 minutos sobre el tema de la circunferencia. Los objetivos son definir la circunferencia, identificar sus elementos, fomentar el trabajo en equipo y promover la reflexión. La clase consiste en una actividad en grupos, corrección y definición formal de circunferencia.
This chapter reviews prominent theories of economic development from early views to contemporary models. It discusses the evolution of development goals from a narrow focus on GDP growth to broader objectives incorporating quality of life, sustainability, and the UN's Millennium Development Goals. Classical theories described stages of growth and structural change as countries shift labor from agriculture to industry. Contemporary theories include new growth theory and theories of coordination failure.
1) The document discusses lessons learned from managing independent film projects based on the author's experience as an executive producer.
2) It describes three case studies ("Alpha," "Beta," and "Gamma") that illustrate challenges in managing the development, production, and distribution stages of projects when control is limited.
3) The "Alpha" case highlights issues that arose when a writer/director took longer than expected to deliver draft scripts, forcing the producer to send an interim script to casting calls and film markets prematurely, hindering financing.
Does biomass partitioning differ between plant functional types? Analysis of ...remkoduursma
Presentation for ESA (Baltimore), 2015, "Does biomass partitioning differ between plant functional types? Analysis of a global biomass and allometry database (BAAD)" by Remko Duursma and Daniel Falster
This document provides course descriptions for several quantitative methods courses offered at Aalto University. The courses cover topics including mathematics, statistics, econometrics, optimization, and simulation. They range from introductory to advanced levels. Assessment methods typically include lectures, exercises, exams, and some courses include projects. Required textbooks and literature are also listed for each course.
This resume is for Jonathan Montemayor, an architectural and graphic designer from the Philippines. He has over 15 years of experience in design fields like architecture, graphics, and web design. He is seeking a position that allows him to conceptualize and develop architectural and graphic solutions for commercial and residential clients. He has a bachelor's degree in architecture and certifications in software like AutoCAD, Adobe Creative Suite, and 3D modeling programs. His experience includes positions at construction, cement, and automotive companies where he performed tasks like drafting, graphic design, and website development.
The MAX6603 is a dual-channel signal conditioner that amplifies signals from two external platinum RTD temperature sensors and provides the temperature information as two independent analog output voltages. It excites the RTDs with a constant current, amplifies the signal, and provides a ratiometric output voltage that is compatible with microcontroller ADCs. The device monitors the RTDs for faults and will assert diagnostic outputs low if a fault is detected on either input. It is available in a small 10-pin package and operates over an automotive temperature range from a single power supply.
This chapter reviews prominent theories of economic development from early views to contemporary models. It discusses the evolution of development goals from a narrow focus on growth to broader conceptions of quality of life and sustainability. Key classical theories described include linear stages of growth models, structural change models, and international dependence models. Contemporary theories addressed include new growth theory and coordination failure theory. The chapter concludes by examining implications of changes in development thinking for studying challenges facing developing nations.
Physical science involves the study of matter and energy. Chemistry examines all forms of matter, while physics analyzes how energy affects matter. The scientific method is used to systematically answer questions through hypothesis testing, experimentation, analysis, conclusions, and communication of results. Key terms in the scientific method include the independent variable, which is manipulated to cause change, and the dependent variable, which is measured. Models are used to represent objects or systems, and can be physical, mathematical, or conceptual representations. Scientific laws summarize experimental results, while theories provide explanatory frameworks for observations and hypotheses.
This document provides an overview of project management phases and methods according to a traditional waterfall model. It describes the six main phases of project management: initiation, definition, design, development, implementation, and follow-up. The document emphasizes gathering requirements from stakeholders, developing clear agreements, and choosing definitive designs and plans in the early phases to help guide the project and manage expectations. It also highlights challenges such as unclear expectations, uninvolved end users, and lack of approval processes that can lead to issues down the road. Overall the document presents a phased project management approach and lessons learned.
This document discusses expanding herbicide options for weed management in natural areas. It outlines the IR4 Project process for developing data to support new EPA approvals of herbicide uses. Several potential herbicide prospects are identified, including mesotrione, which could provide a new mode of action for resistance management of winter annual grasses and broadleaves. However, obtaining approvals for natural areas uses faces challenges like demonstrating effectiveness for diverse conditions and review of potential nontarget impacts. Industry may be hesitant due to the small market size and liability risks compared to agricultural uses.
El documento presenta un plan de clase de 45 minutos sobre el tema de la circunferencia. Los objetivos son definir la circunferencia, identificar sus elementos, fomentar el trabajo en equipo y promover la reflexión. La clase consiste en una actividad grupal, corrección y definición formal de circunferencia.
This document provides an overview of Locobase, a database created by Steve Llanso that contains information on over 14,500 steam locomotives from around the world between 1825 to present day. It describes the purpose and goals of Locobase, which is to preserve dimensional data and historical context of steam locomotive designs. It outlines Locobase's extensive sources, contributors, and growth over time. It provides examples of the level of detail in Locobase entries and discusses Llanso's future ambitions to continue expanding Locobase and using it to explore the important role of steam locomotives in history.
Erica Jane Makar is seeking opportunities in public health. She has a Bachelor of Science in Public Health and International Development and Cell and Molecular Biology from Tulane University. Her experience includes conducting research at Tulane University and the University of Maryland School of Medicine. She has also volunteered with organizations focused on sanitation, education, and community outreach in the United States, Chile, India, and Honduras.
This document outlines the development of atomic theory from ancient Greek philosophers to modern physics. It describes key contributors such as Democritus, Dalton, Thomson, Rutherford, Bohr, and Schrodinger who proposed models of the atom based on experiments. The modern atomic theory is that atoms contain a nucleus of protons and neutrons surrounded by electrons in electron clouds, and that elements are defined by their atomic number while isotopes differ in neutron number. The four fundamental forces that act on atoms are also summarized.
This user manual provides an overview of the features available to free and paid users on the TenderTiger website. As a free user, one can view certain free tenders, tender briefs, and sections. Paid subscribers gain access to tender details, documents, alerts and a customized dashboard. The document describes the tender search tools, various subscription plans for individuals and corporates, and services offered like hosting tenders, advertising, and eProcurement solutions. Contact information is provided for sales support.
This document outlines a course on Additional Mathematics-II for lateral entry students to engineering programs. The course aims to provide concepts in linear algebra, differential equations, probability theory, and numerical methods. It consists of 5 modules taught over 40 hours. Assessment includes three tests, two assignments, and a seminar, with a minimum 40% overall required to pass. Suggested learning resources include textbooks and online materials. Teaching methods incorporate group work, problem-based learning, and relating concepts to real-world applications.
Teaching Block 2 – Research MethodsFaculty of Busi.docxssuserf9c51d
Teaching Block 2 – Research Methods
Faculty of Business and Law
Postgraduate Modular Finance Scheme (PGMFS)
BA7032 Financial Modelling and Research Methods
(Research Methods Part)
BA7033 Research Project
MODULE HANDBOOK
2017-2018
Module team: Dr George Alexandrou
Dr Salma Ibrahim
Dr Natalia Isachenkova
Dr Mohamed Nurullah
Table of Content
Page
Module Descriptor3
Brief Introduction to the Module: Subject Matter and Structure3
PART ONE: FINANCIAL MODELLING
1.1 Objectives for Part One …………………………………………………..………………….6
1.2 Learning Outcomes for Part One ………………………………………………………….. .6
1.3 Prerequisite Skills…………………………………………………………………………… ..6
1.4 Textbooks for Part One……………………………………………………………………….6
1.5 Approach to Teaching and Learning in Part One ………………………………………....7
1.6 Programme of Lab Session Topics in Part One………..… ……………………………….7
1.7 Feedback and Assessment in Part One ………………….……………………………… ..8
1.8 Student Commitment ………………………………………………………………………. . 9
1.9 Communication ………………………………………………………………………. …….. 9
PART TWO: RESEARCH METHODS
2.1Key dates and lecture programme10
2.2Your dissertation6
2.3Becoming an effective researcher7
2.4Avoiding cheating and plagiarism8
2.5Learning resources9
3.Supervision10
3.1Student/supervisor expectations10
3.2Meetings11
3.3Communications12
4.Preliminary research proposal12
4.1Required12
4.2Submission12
4.3Guidance13
4.4Assessment criteria13
5.Final Research proposal14
5.1Required14
5.2Submission15
5.3Guidance15
5.4Assessment criteria16
6.Dissertation16
6.1Required16
6.2Submission17
6.3Guidance18
6.4Assessment criteria20
2
ii
Module descriptor
MODULE CODE: BA7032 LEVEL: 7 CREDITS: 30
TITLE: Financial Modelling and Research Methods
PRE-REQUISITES: None
CO-REQUISITES: BA7033 Research Project
MODULE SUMMARY (INDICATIVE)
The Financial Modelling and Research Methodsmodule is a core module for the postgraduate modular finance scheme. The module has two parts. The first part provides an underpinning and understanding of numerical techniques used in the business and finance world to aid strategic decision making. It aims to provide students with the accounting, mathematical and statistical foundations that are necessary in the areas of accounting and finance. The second parts deals with an understanding of research methodology and the research methods and skills that the students will need to complete their research project successfully during the summer period.
AIMS(DEFINITIVE)
The aims of this module are to:
· develop an underpinning and understanding of numerical techniques used in the accounting and finance world to aid strategic decision making;
· enable students with the accounting, mathematical, and statistical foundations that are necessary in the areas of accounting and finance;
· provide students with computer and research skills required by employers in this highly competitive sector.
LEARNING OUTCOMES(DEFINITIVE)
On successful completion ...
This document provides a summary of the Calculus II course including:
1) The course covers concepts of anti-derivatives, definite integrals, transcendental functions, and integration techniques.
2) The course objectives are for students to understand integral concepts and solve problems logically.
3) Student assessment is based on assignments, quizzes, midterms, and a final exam, with grades ranging from A to E.
Brunel University's Department of Mathematical Sciences offers a range of undergraduate and postgraduate courses in mathematics. Students can study subjects like mathematics, financial mathematics, and mathematics with computer science. The department has a strong research base and offers student support. Brunel University is located in Uxbridge near London and has excellent sports facilities and opportunities for international students.
The document outlines a project to modernize math courses for computer science specialties in Russian universities. It discusses reasons for high dropout rates in STEM fields including students underestimating the math required and a lack of practical examples. The project involves comparative case studies of math education in Europe, and formulating main directions for modernization based on emphasizing practice over theory, incorporating more real-world examples, and using online tools and bridging courses. Specific modernization plans are outlined for several participating universities focusing on using e-learning platforms and adding applied content.
Kính thưa quý khách hàng!
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The document provides information about a course on Business Mathematics and Statistics offered at the Food and Agri Business School in Hyderabad. The course is offered in the first term of the PGDM (Agribusiness) program from 2015-2017. It aims to help students apply statistical tools and concepts to analyze business problems and data. The course will cover topics like measures of central tendency, probability distributions, linear regression, and time series analysis over 30 sessions. Students will be evaluated based on class participation, assignments, viva, mid-term and end-term exams. Suggested textbooks are also provided.
This document outlines the course details for CC101 General English, CC102 Principles of Management I, and CC103 Financial Accounting at K.S.K.V. Kachchh University. It discusses the objectives, evaluation methods, course contents, topics, textbooks, and exam structure for each course. The courses aim to familiarize students with the English language, introduce fundamental management concepts, and teach financial accounting principles and techniques. Evaluation consists of end-semester, mid-semester, and other assessments. Course content is divided into modules covering subjects like stories, management functions, and accounting fundamentals.
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...00007123
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PHYSICS: Learning outcomes and CompetencesSEENET-MTP
The SEENET-MTP Seminar: Trends in Modern Physics
19–21 August 2011, Niš, Serbia
Talk by Radu Constantinescu (Faculty of Physics, University of Craiova)
httpsvtu.ac.inpdd2021syllabusofengineeringArjun Bc
This document provides information about the course "Transform Calculus, Fourier Series and Numerical Techniques". The course aims to teach students how to use Laplace transforms to solve ordinary differential equations, Fourier series to represent periodic phenomena, and numerical techniques to solve differential equations. The course consists of 5 modules that cover topics such as Laplace transforms, Fourier series, Fourier transforms, z-transforms, partial differential equations, and calculus of variations. Assessment includes continuous internal evaluation and a semester end exam. Students will learn to solve problems in engineering applications using the techniques taught in this course.
This document provides information about a Joint University Master's Degree in Computational and Mathematical Engineering offered by URV and UOC universities. It outlines the program details including courses, credits, enrollment dates, teaching methodology and more. Key courses include Simulation, Numerical Methods in Engineering, High-Performance Computing, Data Analysis in Big Data Environments, and Multivariate Data Analysis. The program aims to prepare students for R&D positions through interdisciplinary training in engineering and applied sciences fields.
This document provides details for a macroeconomics course, including:
- The course aims to provide an understanding of macroeconomics to allow comprehension of relevant news articles and reports.
- Key learning outcomes include understanding GDP, the roles of savings/investment and fiscal policy, money creation by banks, monetary policy, and balance of payments.
- Assessment is 100% examination to motivate holistic revision. The exam will consist of answering two of six questions in 90 minutes.
- Teaching methods include lectures, optional weekly workshops for discussion and feedback, and tutorials. Readings are from the recommended textbook.
- Support and policies around plagiarism, appeals, feedback, and accommodations for disabled
This presentation will outline an effective model for a Hybrid Statistics course. The course continues to be very successful, incorporating on-line instruction, testing, blogs, and, above all, a data analysis project based on real up-to-date easily understood data.The course follows a project driven trajectory motivating students
to engage more aggressively in the class and rise up to the challenge of writing an original research paper. Obstacles, benefits and successes of this endeavor will be addressed.
Group 5 Mathematics courses enable students to develop an appreciation of mathematics and its applications. There are three main course options: Mathematical Studies SL focuses on developing mathematical reasoning for social sciences and humanities; Mathematics SL provides a sound mathematical background for subjects like business or economics; and Mathematics HL is for students competent in a range of analytical skills who have a strong interest in mathematics. All courses emphasize mathematical modeling and inquiry.
This module focuses on developing students' virtual and intercultural communication skills. Students will learn about appropriate conduct in cross-cultural virtual business situations and gain experience using online communication tools. They will acquire technical, communication, and cultural competencies to communicate effectively in virtual environments. Students will learn how to choose the appropriate communication tools and formats for different functions and contexts, including visualizing information, decision making, team productivity, and client/partner communication. The content will also address netiquette, compensating for lack of visual cues, synchronous vs asynchronous communication, and when virtual vs face-to-face communication is more suitable.
This document provides a course description for a Mathematics for Business II unit. The course is a compulsory 3 ECTS credit unit taught in English. It aims to introduce students to additional mathematics concepts like calculus that are useful for business and management. Over 14 weeks, students will learn topics like differentiation, integration, and multivariable calculus through lectures, assignments, and a midterm exam. The course aims to give students practical mathematical skills to support decision making in business.
Doctorate in mathematics & statisticssanzida01
The Doctorate Program in Mathematics & Statistics is offered jointly by the Department of Mathematics and Department of Statistics at Taras Shevchenko National University of Kyiv - Open University. The program provides students with a foundation in statistical methodology and theory, and prepares them for careers applying statistics in fields like biomedical science, engineering, and business. Students take courses in areas like mathematical statistics, time series analysis, and numerical analysis, and must complete a dissertation and defense to graduate.
This document discusses using a blended learning approach for teaching mathematics in engineering programs. It compares traditional teaching methods to a computer and network-assisted method using presentations created with a computer algebra system and course management system. The experience at the University of Castilla-La Mancha Faculty of Computer Science is presented as a case study. The document outlines preliminary topics, the aims and results of implementing blended learning, provides an example presentation, and discusses conclusions.
The Rise of Generative AI in Finance: Reshaping the Industry with Synthetic DataChampak Jhagmag
In this presentation, we will explore the rise of generative AI in finance and its potential to reshape the industry. We will discuss how generative AI can be used to develop new products, combat fraud, and revolutionize risk management. Finally, we will address some of the ethical considerations and challenges associated with this powerful technology.
Abhay Bhutada Leads Poonawalla Fincorp To Record Low NPA And Unprecedented Gr...Vighnesh Shashtri
Under the leadership of Abhay Bhutada, Poonawalla Fincorp has achieved record-low Non-Performing Assets (NPA) and witnessed unprecedented growth. Bhutada's strategic vision and effective management have significantly enhanced the company's financial health, showcasing a robust performance in the financial sector. This achievement underscores the company's resilience and ability to thrive in a competitive market, setting a new benchmark for operational excellence in the industry.
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
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"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
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financial assets represent claim for future benefit or cash. Financial assets are formed by establishing contracts between participants. These financial assets are used for collection of huge amounts of money for business purposes.
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Concluding remarks
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1. 190 COURSE DESCRIPTIONS: QUANTITAVE METHODS
14.9 QUANTITATIVE METHODS
30A00210 Mathematics and Statistics for
Managers (6 cr)
Responsible teacher:
N.N.
Status of the Course:
Compulsory course
Level of the Course:
Fundamentals of Business Knowledge
Teaching period:
I-II
Learning Outcomes:
Learn to understand and use basic mathematical
and statistical tools in solving and model-
ing problems in economics and business. Provide
skills for reading literature in economics and
management science.
Content:
Mathematics: basic concepts of functions, vectors,
matrices, systems of linear equations, linear pro-
gramming. Statistics: population and sample,
graphical data analysis, descriptive statistics, in-
troduction to regression analysis, random num-
bers.
Assessment Methods and Criteria:
1. Lectures in mathematics 21 h and lectures in
statistics 21 h.
2. Exercises 12 h in mathematics and 12 h in
statistics.
3. The course can be completed by doing the
exercises (20% of the final grade) and passing
two midterm exams (80% of the final grade),
or by passing the final exam.
Literature:
Knut Sydsæter and Peter Hammond (2008) Es-
sential mathematics for economic analysis 3rd
edition. ; Pace, L. (2010) Statistical Analysis Using
Excel 2007.
Study Material:
Complementary/alternative readings: Simon, C.P.
& Blume, L.: Mathematics for Economists
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30A00210/
Prerequisites
High school mathematics
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
Further Information:
Only one of the courses 30A00110 Matematiikkaa
ja tilastotiedettä liikkeenjohtajille and 30A00210
Mathematics and statistics for managers can be
included in the Bachelor‟s degree.
30A00410 Quantitative Business Analysis (6 cr)
Responsible teacher:
Dr. Pekka Malo and N.N.
Status of the Course:
Compulsory course
Level of the Course:
Fundamentals of Business Knowledge
Learning Outcomes:
To improve mathematical and statistical skills for
problem solving, and to create theoretical founda-
tions for further studies and understanding eco-
nomic reference texts. This course is a continuum
for Mathematics and Statistics for Managers
(30A00210).
Content:
Mathematics: derivative and partial derivative,
integral calculus, foundations of unconstrained
optimization and constrained optimization. Statis-
tics: inference based on probability, conditional
probability and Bayes formula. Random variable
and its distribution, expectation, variance and
standard deviation, decision trees, descriptive
statistics, confidence intervals and hypothesis
testing.
Assessment Methods and Criteria:
1. Lectures in mathematics 21 h, Dr. Pekka Malo.
and lectures in statistics 21 h, N.N.
2. Exercises in mathematics 12 h, N.N..
and exercises in statistics 12 h, N.N.
3. The course can be completed by doing the
exercises (20% of the final grade) and passing
two midterm exams (80% of the final grade)
or by passing the final exam.
Literature:
2. COURSE DESCRIPTIONS: QUANTITAVE METHODS 191
Knut Sydsæter and Peter Hammond (2008) Es-
sential mathematics for economic analysis 3rd
edition. ; Pace, L. (2010) Statistical Analysis Using
Excel 2007.
Study Material:
Complementary/alternative readings: Simon, C.P.
& Blume, L.: Mathematics for Economists, W.W.
Norton & Co, 1994.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30A00410/
Prerequisites:
30A00210 Mathematics and statistics for manag-
ers
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
Further Information:
Only one of the courses 30A00310 Kvantitatii-
vinen analyysi taloustieteissä and 30A00410
Quantitative business analysis can be included in
the Bachelor‟s degree.
30C00100 Statistical Analysis (6 cr)
Responsible teacher:
Jan-Otto Malmberg
Status of the Course:
BT BSc program, common program studies
B.Sc., finance (Taloushallinto)
Level of the Course:
Intermediate
Teaching period:
III - IV
Workload:
- Lectures 40 h
- Exercises 20 h
- Independent work 102 h
Total 162 h
Learning Outcomes:
The course will provide students with additional
knowledge in statistical theory and techniques.
Content:
Probability, conditional probability, decision
trees, probability distributions, estimation, hy-
pothesis testing. Introduction to regression analy-
sis, analysis of variance.
Assessment Methods and Criteria:
1. Lectures 40 h, Jan-Otto Malmberg.
2. Exercises 20 h, N.N.
3. The course can be completed by doing the
exercises (20% of the final grade) and passing
two midterm exams (80% of the final grade)
or by passing the final exam.
Literature:
Levine, David M. (2006) Business statistics a first
course. ISBN 0131971018
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30C00100/
Prerequisites:
Compulsory courses in quantitative methods
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
30C00200 Econometrics (6 cr)
Responsible teacher:
Professor Timo Kuosmanen
Status of the Course:
B.Sc., business technology, specialization studies
B.Sc., economics program
B.Sc., finance (Taloushallinto)
Level of the Course:
Intermediate
Teaching period:
III
Workload:
- Lectures 40 h
- Exercises 20 h
- Independent work 102 h
- Total 162 h
Learning Outcomes:
3. 192 COURSE DESCRIPTIONS: QUANTITAVE METHODS
The main objective of the course is to obtain a
basic understanding of the econometric method.
The course focuses on least squares estimation
and related statistical inferences. The assumptions
of least squares estimation will be critically inves-
tigated, and possible ways to alleviate the assump-
tions will be explored.
Content:
Linear regression model and its assumptions,
least squares estimation, tests of parameters and
linear restrictions, endogeneity and instrumental
variables, heteroskedasticity and autocorrelation.
Introduction to maximum likelihood estimation of
discrete choice models and limited dependent
variables. Introduction to time series and panel
data models. All topics are examined by means of
economic examples with real empirical data.
Assessment Methods and Criteria:
1. Lectures 40 h, Timo Kuosmanen
2. Exercises and demonstrations 20 h, Antti
Saastamoinen
3. Grading is based on exercises (30%) and the
final exam (70%).
Literature:
Dougherty, Christopher (2007) Introduction to
econometrics. ISBN 9780199280964
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30C00200/
Prerequisites:
Compulsory courses in quantitative methods
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
30C00300 Mathematical Methods for
Economists (6 cr)
Responsible teacher:
N.N
Status of the Course:
BSc, BT program, specialization studies
BSc, economics program
Level of the Course:
Intermediate
Teaching period:
III - IV
Workload:
Contact hours 62 h and autonomous work 100 h
Learning Outcomes:
To improve mathematical skills acquired in the
basic courses
Content:
The course concentrates on mathematical meth-
ods useful in economics and business. The topics
covered are essentials of set theory, matrix alge-
bra, multivariate calculus, optimization, introduc-
tion to dynamics: difference and differential equa-
tions. The applications of the course will cover
different areas in economics and management,
finance, business technology and logistics. Com-
puters are used to solve some of the problems.
Assessment Methods and Criteria:
1. 40 h lectures + 22 h exercises + 20 h optional
instruction sessions.
2. The course can be completed by doing exer-
cises (20% of the final grade) and by pssing
two midterm exams (80% of the final grade)
or by passing the final exam.
Literature:
Simon, Carl P. and Blume, Lawrence (1994)
Mathematics for Economists. ISBN 0393957330 ;
Sydsaeter K., Hammond P., Seierstad A., Strom A.
(2008) Further mathematics for economic analy-
sis, 2nd edition. ; Sydsäter, K. & Hammond, P
(2008) Essential Mathematics for Economic
Analysis, 3rd edition.
Study Material:
Lecture notes
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30C00300/
Prerequisites:
Compulsory courses in quantitative methods
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
30C00400 Tools for Business Decisions 2 (6 cr)
4. COURSE DESCRIPTIONS: QUANTITAVE METHODS 193
Responsible teacher:
N.N
Status of the Course:
Bachelor‟s program in Business Technology,
common program studies
Level of the Course:
Intermediate studies
Teaching period:
IV
Workload:
- Lectures 42 h
- Independent work 120 h
Learning Outcomes:
To familiarize the students with useful analytical
tools applied to practical business decisions.
Content:
Decision making under uncertainty, utility theory,
multiple criteria decision making, waiting line
models, simulation, with cases. Modeling with
spreadsheets and add-inns.
Assessment Methods and Criteria:
1. Lectures and demonstrations 42h
2. Exercises/cases and final exam
Literature:
Anderson, D.R., Sweeney, D.J., and Williams, T.A.
(2010) An Introduction to Management Science.
ISBN 978-1439043271
Study Material:
PP-slides, handouts, cases/exercises, textbook
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30C00400/
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
30E00150 Applied Optimization and
Methodologies (6 cr)
Responsible teacher:
Kalyanmoy Deb
Status of the Course:
Elective course. This course is intended both for
master's and doctoral students.
Level of the Course:
Advanced
Teaching period:
Summer 2012
Workload:
- lectures 42 h
- individual work 120 h
Learning Outcomes:
The objective of the course is to acquaint students
with optimization methods for single and multiple
objective problems. Both classical and evolution-
ary algorithms for optimization are discussed.
Content:
Introduction to optimality conditions, classical
optimization methods, constraint handling basics,
introduction to evolutionary optimization (EO),
cases studies from real-world problems, custom-
ized EO, uncertainty based EO, robust and relia-
bility based EO, multi-objective EO, innovation
through optimization, and decision-making.
Assessment Methods and Criteria:
1. Lectures and participation (10 %)
2. Exercises (20 %)
3. Project (20 %)
4. Exam (50 %)
Literature:
1. Bazaraa, M. S., Sherali, H. D. and Shetty, C. M.
(2004). Nonlinear programming: Theorey and
algorithms. Wliey: London.
2. Deb, K. (2001). Multi-objective optimization
using evolutionary algorithms. Wiley: London.
Study Material:
Lecture slides, handouts, exercises, textbook.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30E00150/
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
5. 194 COURSE DESCRIPTIONS: QUANTITAVE METHODS
30E00400 Simulation (6 cr)
Responsible teacher:
prof. Tomi Seppälä
Status of the Course:
M.Sc.(Econ), Information and Service Manage-
ment program, elective course of advanced spe-
cialization studies.
Level of the Course:
Advanced
Teaching period:
I
Workload:
- Lectures 40 h
- Exercises 20 h
- Project 50 h
- Independent work 52 h
Learning Outcomes:
To acquaint the student with modeling using sim-
ulation techniques which can be usedto support
management decision making, especially in fi-
nance, operations management, and logistics;
to develop expertise in using simulation models
with computers and related software,especially
Excel;
to give you experience in analyzing results and
making decisions through assigned homework
exercises and case analyses.
Content:
Introduction to simulation models, simulation in
Excel, random numbers, methods to simulate
random events, managerial applications of risk
analysis, Wiener process, valuation of stocks and
options, system simulation, forecasting, advanced
simulation techniques.
Assessment Methods and Criteria:
1. Lectures 40 h
2. Exercises 20 h
3. The grade consists of final exam (50%), exer-
cises (20%) and project work (30%).
Literature:
Evans, J.R. & Olson, D.L. (2002) Introduction to
simulation and risk analysis. ; Vose, D. (2000)
Risk analysis: a quantitative guide. ; Ross, Shel-
don M. (2006) Simulation. ISBN 9780125980630
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30E00400/
https://noppa.aalto.fi/noppa/kurssi/30C00400/
Prerequisites:
Undergraduate mathematics, statistics and prob-
ability, as well as Excel skills. More specifically,
basic knowledge in matrix algebra, differential
and integral calculus, statistical analysis and
probability distributions are essential.
Evaluation:
0-5
Registration for Courses:
Via WebOodi
Language of Instruction:
English
Further Information:
Lectures and exercises in period I.
Project work and project presentations in period
II.
30E00500 Quantitative Empirical Research (6 cr)
Responsible teacher:
Prof. Pekka Korhonen and Dr. Pekka Malo
Status of the Course:
Common Scientific Doctoral Studies
Master‟s degree, Minor studies in Quantitative
Methods
Level of the Course:
Advanced
Teaching period:
IV
Workload:
- Lectures 40 h
- Exercises 20 h
- Independent work 102 h
Learning Outcomes:
The objective of the course is to enable the stu-
dents to use quantitative data analysis techniques
in business and economic research. The course
will provide the students with a set of tools useful
in empirical research.
Content:
Basic concepts, screening data, and visualizing
multivariate observations are discussed. Further-
more, the course will define and introduce a set of
statistical multivariate methods and explain when
their use is appropriate and how they are related
to each other. Some of the methods covered are
linear regression, logistic regression analysis,
6. COURSE DESCRIPTIONS: QUANTITAVE METHODS 195
principal component analysis, factor analysis,
analysis of variance, and cluster analysis. Method-
ological aspects and interpretation of analysis are
also explained. Excel and SAS programs will be
used in exercises and demonstrations during the
course.
Assessment Methods and Criteria:
1. Preliminary assignments
2. Lectures 42 h
3. Exercises 18 h
4. Grading is based on a final exam (80% of the
grade) and exercises (20% of the grade)
Literature:
Sharma, Subhash (1996) Applied multivariate
techniques. ISBN 0-471-31064-6 ; Hair J.H., Tat-
ham R.L., Anderson R.E.A., Black W. (1998) Mul-
tivariate data analysis. ISBN 0138948585
Study Material:
Other material announced by the lecturers.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30E00500/
https://noppa.aalto.fi/noppa/kurssi/30C00500/
Prerequisites:
Basic knowledge in mathematics and statistics is
assumed. Moreover, basic knowledge in linear
algebra and statistical analysis are recommended.
Evaluation:
0-5
Registration for Courses:
Via Weboodi
Language of Instruction:
English
30E00700 Advanced Statistical Methods (6 cr)
Responsible teacher:
Prof. Tomi Seppälä
Status of the Course:
M.Sc.(Econ), Information and Service Manage-
ment program, elective course of advanced spe-
cialization studies.
M.Sc.(Econ), finance program, advanced speciali-
zation studies.
Level of the Course:
Advanced
Teaching period:
III
Workload:
- Lectures 40 h
- Exercises 20 h
- Project 50 h
- Independent work 52 h
Learning Outcomes:
To expand and deepen the student‟s knowledge of
and ability to use regression and time series anal-
ysis with applications to business, finance and
economics.
Content:
Topics in linear models and Time Series analysis:
special estimation methods of regression models,
ARMA models, forecasting, cointegration, ARCH
and GARCH models. The content may change
from year to year.
Assessment Methods and Criteria:
1. Lectures 40 h, professor Tomi Seppälä
2. Exercises 20 h, Tomi Seppälä
3. The grade consists of a final exam (50%), ex-
ercises (20%) and a project (30%).
Literature:
Brooks, Chris (2008) Introductory econometrics
for finance, 2nd edition. ISBN 0-521-79018-2 ;
Verbeek, Marno (2004) Guide to modern econo-
metrics. ISBN 978-0-470-85773-1 ; Enders, Wal-
ter (2003) Applied Econometric Time Series, 2nd
Edition. ISBN 978-0471230656
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/30E00700/
https://noppa.aalto.fi/noppa/kurssi/30C00700/
Prerequisites:
Compulsory statistics and mathematics courses in
the Bachelor‟s program, as well as at least one of
the following: introduction to econometrics, sta-
tistical analysis or simulation. It is important that
student knows the basics of statistical testing and
regression analysis prior to attending the course.
Other prior courses in quantitative areas are use-
ful, too.
Evaluation:
0-5
Registration for Courses:
Via Weboodi
Language of Instruction:
English
7. 196 COURSE DESCRIPTIONS: QUANTITAVE METHODS
Further Information:
Lectures and exercises in period III.
Project work and project presentation in period IV
57C99901 Bachelor’s Thesis (10 cr)
Responsible teacher:
Assistant Professor, Ph.D. (econ.) Johanna Bragge
(with Merja Halme and Markku Kuula)
Status of the Course:
B.Sc. (Econ.), Business Technology program.
Level of the Course:
Compulsory program course.
Teaching period:
I-II (Autumn) and III-IV (Spring)
Workload:
- Independent scientific work: 267 h
- searching and reading literature
- formulating a research question
- (doing empirical analyses, gathering research
data)
- writing the thesis
Learning Outcomes:
The objective is to learn and practice independent
scientific thinking by setting up research ques-
tions and studying a specific topic. Students learn
to get to know references, to find literature, and to
apply it for resolving a research question. The
thesis will be a structured, scientific report.
Content:
The Bachelor‟s Thesis is carried out together with
Bachelor‟s Thesis Seminar (57C99902)
Assessment Methods and Criteria:
Grading: 85% of the grade is based on the thesis
and 15% is based on participation in the thesis
seminar.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/57C99901/
Evaluation:
0-5
Registration for Courses:
Register to 57C99902 Bachelor‟s Thesis Seminar
via Weboodi.
Language of Instruction:
English
57C99902 Bachelor’s Thesis Seminar (2 cr)
Responsible teacher:
Assistant Professor, Ph.D. (econ.) Johanna Bragge
(with Merja Halme and Markku Kuula)
Status of the Course:
B.Sc. (Econ.), Business Technology program.
Level of the Course:
Compulsory program course
Teaching period:
I-II (Autumn) and III-IV (Spring)
Workload:
- introductory lectures 8 h
- seminar sessions 14 h
- preparing for lectures 6 h
- preparing for seminar sessions 12 h
- doing assignments (research plan, research
profiling assignment) 13 h
Learning Outcomes:
The objective is to learn and practice independent
scientific work.
Content:
In the seminar, students get guidance in their
research for Bachelor‟s Thesis. During the Thesis
seminar, students will prepare a research plan,
conduct a research profiling assignment, report
the progress of their Thesis, present and defend
their research results, act twice as an opponent,
and participate actively in seminar discussions.
Assessment Methods and Criteria:
3. Introductory lectures and seminar sessions 28
h
4. Requirements for passing the seminar: com-
pleting the research profiling assignment, pre-
senting own thesis at the seminar, acting twice
as an opponent, attending to 70% of the semi-
nar sessions
(Grading: Pass/Fail)
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/57C99902/
Evaluation:
Pass/Fail
Registration for Courses:
via WebOodi.
Language of Instruction:
8. COURSE DESCRIPTIONS: QUANTITAVE METHODS 197
English
57C99903 Maturity Test (0 op)
Responsible teacher:
Thesis supervisor
Status of the Course:
B.Sc. (Econ.), Business Technology program.
Level of the Course:
Compulsory program course.
Teaching period:
I-II (Autumn) and III-IV (Spring)
Learning Outcomes:
After finalizing the Bachelor‟s Thesis, students
carry out a proficiency test in mother tongue. The
objective is to show that a student can write an
essay in her or his mother tongue and that s/he
masters the basic concepts in her or his thesis. In
general, the test is written in Finnish, but non-
Finnish speakers are granted an exemption to
write the test in English.
Content:
The Maturity Test is taken at the end of the Bache-
lor‟s Thesis Seminar (57C99902) and Bachelor‟s
Thesis (57C99901). The test can be taken in con-
nection with any official exam, and the date is
agreed upon with the supervisor once the thesis is
written.
Assessment, Methods and Criteria:
Exam 4 h
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/57C99902
Evaluation:
Pass/Fail
Registration for Courses:
Register first to 57C99902 Bachelor‟s Thesis Sem-
inar via WebOodi. Agree the date for the Profi-
ciency Test with the supervising teacher (after the
thesis is written).
57E00500 Business Intelligence (6 cr)
Responsible teacher:
Oana Velcu
Status of the Course:
M.Sc.(Econ), Information and Service Manage-
ment program, common advanced course
Level of the Course:
Specialization course
Teaching period:
12th March 2012 - 11th May (IV Spring)
Workload:
- Lectures 28 hours
- Preparing for lectures 56 hours
- Case studies 4.5 hours
- Preparing for case studies 14 hours
- Preparing for exercises 10 hours
- Computer labs 4.5 hours
- Preparing for computer labs 9 hours
- Preparing for exam 30 hours
- Exam 4 hours
Learning Outcomes:
After the course, the students will understand the
connection between the analytical tools that can
be used on real data in companies and the strate-
gic decision-making. The students will have ana-
lytical skills that enable them to work with the
data, to understand it and turn it into intelligence
for particular decisional contexts.
Content:
The course seeks to provide a balanced approach
to BI by enabling insight into the building blocks
of BI, such as data management, querying, analyt-
ic tools, quantitative modeling, and reporting,
with the purpose to enable students acquire theo-
retical and practical understanding of decision-
making and problem solving.
Assessment Methods and Criteria:
4. Exam 60%
5. Case study essays 20%
6. Exercises 20%
Literature:
Turban, Efraim, Sharda R., and Delen, D. (2011)
Decision support and business intelligence sys-
tems 9th ed.. ISBN 0132453231
Study Material:
Other research papers and material provided by
lecturers.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/57E00500/
Evaluation:
0-5
Registration for Courses:
9. 198 COURSE DESCRIPTIONS: QUANTITAVE METHODS
Via WebOodi
Language of Instruction:
English
57E99901 Master’s Thesis (30 cr)
Status of the Course:
M.Sc.(Econ), Information and Service Manage-
ment program, compulsory course.
Level of the Course:
Advanced
Learning Outcomes:
The objective is to practice independent scientific
thinking by setting up research questions and
studying a specific research topic. The thesis will
be a structured, scientific report.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/57E99901/
Evaluation:
0-5
Further Information:
The Master‟s Thesis needs to be carried out to-
gether with the Master‟s Thesis Seminar
(57E99902).
57E99902 Master’s Thesis Seminar (0 cr)
Responsible teacher:
Matti Rossi (coordinates)
Status of the Course:
M.Sc.(Econ), Information and Service Manage-
ment program, compulsory course.
Level of the Course:
Advanced
Teaching period:
I - IV
Workload:
- 6 h presentations
- 4 h critique
- 20 h seminars
Learning Outcomes:
The objective is to practice independent scientific
thinking by setting up research questions and
studying a specific research topic. The thesis will
be a structured, scientific report.
Content:
In the seminar, students get guidance in their
research for Master‟s Thesis. There are lecturers
on methods and theories of study in IS, MS and
OR.
Assessment Me Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/38E00100/
thods and Criteria:
Lectures, presentations and critique of other stu-
dents work. If necessary, students will be orga-
nized into smaller groups supervised by professors
from the department of Information and Service
Economy.
Course Homepage:
https://noppa.aalto.fi/noppa/kurssi/57E99902
Evaluation:
hyväksytty/hylätty
Registration for Courses:
Via WebOodi
Language of Instruction:
English
57E99903 Maturity Test (0 op)
Status of the Course:
M.Sc.(Econ), Information and Service Manage-
ment program, compulsory course.
Level of the Course:
Advanced
Learning Outcomes:
After finalizing the Master‟s Thesis, students carry
out a proficiency test in Mother Tongue. The ob-
jective is to show a student can write an essay in
her or his mother tongue and that she or he knows
the basic concepts in her or his Thesis.
Evaluation:
hyväksytty/hylätty