The document outlines the objectives, methodology, and structure of the MSc Computer Science program at Nehru Arts and Science College. The 2-year program aims to [1] develop specialist knowledge in areas of computer science not covered at the undergraduate level, [2] provide practical experience applying theoretical computer science concepts, and [3] equip students with advanced computer skills. Coursework covers both theoretical and applied modules, and students complete an independent research project in their second year. The program aims to prepare graduates for careers in computer science fields or further postgraduate research.
The joint task force of ACM and IEEE Computer Society released recent guidelines for undergraduate computer science majors late in 2013. Since that time, many computer science departments have reviewed the included recommendations and exemplars from various institutions, and made changes to the programs that they offer. In this panel, we will share the experiences of the panelists from a variety of computer science programs in reviewing and responding to the new curriculum guidelines. The panel hopes to generate additional discussion about new knowledge areas and models for incorporating recommended content into programs at small, liberal arts institutions.
Siti Rosminah, M. D., & Ahmad Zamzuri, M. A. (2012). Difficulties in learning Programming: Views of students. In 1st International Conference on Current Issues in Education (ICCIE2012) (pp. 74–78). Yogyakarta: Yogyakarta State University.
The joint task force of ACM and IEEE Computer Society released recent guidelines for undergraduate computer science majors late in 2013. Since that time, many computer science departments have reviewed the included recommendations and exemplars from various institutions, and made changes to the programs that they offer. In this panel, we will share the experiences of the panelists from a variety of computer science programs in reviewing and responding to the new curriculum guidelines. The panel hopes to generate additional discussion about new knowledge areas and models for incorporating recommended content into programs at small, liberal arts institutions.
Siti Rosminah, M. D., & Ahmad Zamzuri, M. A. (2012). Difficulties in learning Programming: Views of students. In 1st International Conference on Current Issues in Education (ICCIE2012) (pp. 74–78). Yogyakarta: Yogyakarta State University.
Conceptual framework provides the steps in planning and implementing tracer studies on the alumni of engineering institutions. One can update the curriculum, improve the instructional methods, etc.
Relevance of Higher Education. How to measure it? The case of masters of engi...AM Publications
Existing evaluation models for higher education have, mainly, accreditation purposes, and evaluate the
efficiency of training programs, that is to say, the degree of suitability between the educational results and the
objectives of the program. However, it is not guaranteed that those objectives adequate to the needs and real interests
of students and stakeholders, that is to say, they do not assess the relevance of the programs, a very important aspect
in developing countries. From the review of experiences, this paper proposes a model for evaluating the relevance of
engineering masters program, and applies it to the case of a master’s degree at the University of Piura, Peru. We
conclude that the proposed model is applicable to other masters program, offers an objective way for determining is a
training program keep being relevant, and identifies improvement opportunities
Discover excellence in commerce education at the best B.com college in Indore. Our comprehensive programs, experienced faculty, and modern facilities pave the way for a successful career. Enroll now to shape your future.
Conceptual framework provides the steps in planning and implementing tracer studies on the alumni of engineering institutions. One can update the curriculum, improve the instructional methods, etc.
Relevance of Higher Education. How to measure it? The case of masters of engi...AM Publications
Existing evaluation models for higher education have, mainly, accreditation purposes, and evaluate the
efficiency of training programs, that is to say, the degree of suitability between the educational results and the
objectives of the program. However, it is not guaranteed that those objectives adequate to the needs and real interests
of students and stakeholders, that is to say, they do not assess the relevance of the programs, a very important aspect
in developing countries. From the review of experiences, this paper proposes a model for evaluating the relevance of
engineering masters program, and applies it to the case of a master’s degree at the University of Piura, Peru. We
conclude that the proposed model is applicable to other masters program, offers an objective way for determining is a
training program keep being relevant, and identifies improvement opportunities
Discover excellence in commerce education at the best B.com college in Indore. Our comprehensive programs, experienced faculty, and modern facilities pave the way for a successful career. Enroll now to shape your future.
TIMT - BBA Colleges in Haryana | BCA College in Haryana | MCA Colleges in Har...TIMT College
TIMT is constantly working to generate the finest quality Management and Computer experts in India in order to become one of the country’s leading Management and Technical Institutes. If you are on the lookout for the best out of best BBA colleges in haryana , BCA college in haryana, or MCA college in Haryana, TIMT is the right choice for you. https://www.timt.ac.in/
Need strong job duties to be included in my resume to match with PhD.docxgibbonshay
Need strong job duties to be included in my resume to match with PhD IT satisfying the following :
Doctorate of Philosophy, Information Technology (PhD IT)
Program Description
The Doctorate of Philosophy in Information Technology at University focuses on the advanced practice
role of the use of predictive analytics to identify cyber threats, employ big data analytics to improving healthcare, and
empower smart cities in making data-driven policy changes critical for societal well-being. This program is designed to meet
the aggressive demand for qualified data scientists in virtually every sector of the economy, with classes in computer
science, data intelligence, analytics, security, strategic planning, governance and global economy.
Students can earn the PhD, Information Technology in either a fully online format or an executive format combining online
and on-site study. The Executive format program requires attendance at weekend residency classes. Further, the Executive
PhD, Information Technology Program meets the needs of international graduate business students. This program provides
both in-seat and online coursework. Graduate students joining the Executive PhD, Information Technology program will be
employed or conduct projects in business-related positions and participate in Applied Learning Practicum, in which students
apply what they are learning in their program to the real world via work or internship experiences.
Program Sensitivity
While the program’s schedule requires considerable independent learning and preparation on the part of the candidate prior
to each session, the schedule nevertheless enables in-depth, active learning based on critical and reflective thinking. The
format allows assignments to be handled comfortably, while candidates maintain their continuing professional
responsibilities. The program is designed with an applied learning component that is an integral (essential) part of the
established curriculum. This allows students the opportunity to apply their studies to their place of employment.
PhD IT Program Requirements
Research
Students will formally identify a dissertation topic and write the review of the literature in fulfillment of the
requirements for DSRT 736-Dissertation Seminar. The remaining sections of the first three chapters of the dissertation will
be written while enrolled in DSRT 839- Advanced Research Methods. Candidates will carry out their research to complete
the dissertation.
Comprehensive Exam
Candidates sit for the Comprehensive Examination prior to enrolling DSRT 930. The specific
content, structure, and scheduling of this examination is determined by the Program Director. Tailored to each student’s
program of study, questions on the Comprehensive Examination are generated by the program’s four content-related goals:
• Goal 1: Expand information sciences through advanced study.
• Goal 2: Promote critical thinking and problem-solving skills to include lead.
SIAVOSH KAVIANI
CE / CS MASTER PROFESSOR
Objective:
Highly motivated and dedicated individual with a doctorate in software Engineering and excellent teaching and research skills and knowledge of educational technologies looking for the position of a professor in Software Engineering courses. A highly enthusiastic online professor with over 25 years of experience teaching Software Eng. Courses Software Eng. (I,II,Advance)/ Advance Software Discourse/Decision support system/IT Strategic management /Database(I,Advance)in digital education technologies with outstanding communication and teaching skills.
A B O U T M E:
Exceptionally seasoned and dedicated Engineering Professor with a strong record in both teaching and administration. Adept at explaining highly complex engineering theories and practices in a clear and accessible manner to a variety of professional and non-professional audiences. Committed to offering interested students my full attention and expertise to help further their academic and professional goals.
School of engineering, Dayananda Sagar College offers bachelor, master and research courses in mechanical engineering. Highly qualified professors, industry and research based curriculum, well –equipped labs, exposure to national and international workshops and seminars have made DSU students to be the next innovators of the domain.
Know more about the eligibility, admission test (DSAT 2018) course details, in-house research and development opportunities and placements for all the aspiring students of Dayananda Sagar College of Engineering
B.p. poddar group department of information technology | bppimtShirsendu Kar
B P Poddar is one of the best Institute of Management and Technology in Kolkata accredited with all 4 B.Tech programs accredited by National Board of Accreditation NBA
http://www.bppimt.ac.in/
Prepare the following documents and develop the software project startup, prototype
model, using software engineering methodology for at least two real time scenarios or
for the sample experiments
OutlineWhat will your programinitiativecourse do What are .docxgerardkortney
Outline:
What will your program/initiative/course do? What are the activities that participants in your program will do? How long will they last?
These courses offered to student attending local inner city schools will give them relevant knowledge related to the STEM field
Courses Offered include:
CSCI 1001 Computer Fundamentals (A, SP, SU) 2 credits
CSCI 1001 introduces the inexperienced computer user to the fundamentals of computer terminology, hardware, software, windows operating system, directories, folders, files, copy/paste functions, naming conventions and setting passwords. Additional topics covered include the World Wide Web, the Internet, search engines and Blackboard.
Lecture: 1 hour - Lab: 2 hours Lab fee: $6.00
CSCI 1102 Intermediate Excel & Access (SP) 3 credits
CSCI 1102 is a continuation of CSCI 1101, incorporating Intermediate concepts and techniques used in spreadsheets and database software.
Examples: financial functions, data tables, amortization schedules, working with multiple worksheets, macros, database queries, reports, switchboards, pivot tables and charts, and using SQL. Project management and HTML concepts will be introduced. Students will learn how to use these tools for analysis and decision making.
Lecture: 2 hours - Lab: 2 hours
Prerequisite: CSCI 1101 Lab fee: $2.00
MATH 1099 Bridge to College Math (A, SP, SU)
3 credits The topics contained in DEV 0114, MATH 1050, and MATH 1075 will be delivered in a modularized format using technology, allowing students to begin at the appropriate level based on course placement and allowing them to move through as many modules and courses as they can within the time limits of the course. This modularized, mastery approach will pre-test, provide a prescriptive study plan, and post-test students from one module to the next. Emphasis will be placed on individualized pace with a greater time period of active learning. At the end of the course, based on proficiency of the series of modules associated with one or more courses, students will earn a grade of “S” for satisfactory progress and gain permission to enter subsequent courses in their plan of study.
Lab: 6 hours
Prerequisite: Placement score which allows for DEV 0114 or MATH 1050 or MATH 1075 registration Lab fee: $7.00
MATH 1050 Elementary Algebra (A, SP, SU)
5 credits This is the first course of a two-semester sequence. It covers the study of the real number system including properties of real numbers, order of operations, operations on algebraic expressions, solving linear equations and inequalities in one variable, the rectangular coordinate system, graphs of linear equations and inequalities in two variables, systems of equations and inequalities in two variables, applications and modeling, properties of exponents, scientific notation, polynomial arithmetic, factoring, solving polynomial equations. Course also emphasizes applications and activities to build skills in problem solving. Not open to students with cr.
OutlineWhat will your programinitiativecourse do What are .docx
Siminar ppt
1. “CLAAPS”
COMPUTER LEARNING AND ADAPTING
PROMOTIONAL STRATEGY
DEPARTMENT OF COMPUTER SCIENCE AND
APPLICATIONS
NEHRU ARTS AND SCIENCE COLLEGE
PRSENTED BY
P.MUTHU LAKSHMI
ASST. PROF.
3. EDUCATIONAL AIMS OF PROGRAMME
The MSc in Computer Science is an advanced degree which aims to
develop specialist knowledge in areas of Computer Science not covered
extensively at the undergraduate level.
The primary aim of the theoretical modules is to introduce students to core
areas of theoretical computer science, to provide practical experience of
that theory and to introduce students to the technologies through which
theory-based tools are implemented.
The systems modules aim to give students experience of the theory and
practice of designing programmable systems, with particular emphasis on
the design of concurrent and distributed applications.
4. THE PRINCIPLE AIMS OF THE DEGREE
Develop graduates possessing a thorough understanding of one specialist area
of Computer Science
Equip students with advanced computer-based scientific and engineering skills
Provide a programme of study that benefits from our research strengths in
Computer Science
Enable students to develop communication skills, initiative, professionalism
and the ability to work independently as well as with others
Provide graduates with the knowledge and skills necessary for professional
careers or for postgraduate research.
6. THEORETICAL FOUNDATION
Computer sciences lay the theoretical foundation for information and
computer systems as well as the application of those foundations.
Whereas the theoretical computer science focuses more on formal methods.
Such as algorithms and data structures, the applied computer science closes
a gap to other disciplines and offers solutions in areas such as artificial
intelligence or health systems.
This M.Sc. is different in that it focuses on teaching theory and its
applications.
Students are exposed to programming languages and platforms as well as
methodologies for the creation, capture and presentation of text, graphics,
audio and moving images.
8. PROGRAMME OUTCOMES
The programme provides opportunities for learners to achieve the
following outcomes:
(a) Knowledge and understanding
Understand the process of building computational systems in all its stages and be
able to demonstrate this understanding in supervised system building efforts
Have advanced knowledge of the state of the art in a CS research area. The exact
specialisms available vary over time, but generally fall in the areas of: theory,
software engineering, high performance computing and databases.
Understand Informatics research methodologies at a level that permits the student to
engage in future doctoral research
Know the main research methodologies used in Informatics
9. INTELLECTUAL SKILL
Develop literature review and analysis skills
Specify a research question and identify the relevant background literature
Graduates completing the MSc will be qualified to take up a strong
analytical role in assistive technology or software development teams
providing advice, guidance and planning for universal design and
accessibility.
12. TRANSFERABLE SKILLS
Deploy logical, analytical, and problem solving skills and to synthesize
solutions
Show self-direction and time management skills when working
independently
Develop skills needed for undertaking extended projects, including reviews,
time management and extended reports
Communicate effectively through a variety of media including oral, visual,
written, diagrammatic and on-line
Make effective use of learning materials and to acquire and apply
knowledge from a variety of sources.
The ability to work effectively with people from different cultural contexts
The ability of working to strict deadlines and effective time management
14. PROJECT WORK
The types of activity involved in each project will vary but will include
most of the following:
Researching the literature and gathering background information.
Analysing requirements, comparing alternatives and specifying a solution.
Analysing and extending relevant theory in novel ways.
Designing and implementing the solution.
Experimenting with and evaluating the solution.
Discussing existing results and presenting new research.
Developing written and oral presentation skills.
The project is conducted individually by the student under the supervision
of a member of teaching staff. Students are formed into groups for the
purpose of a Review Meeting.
16. COURSE STRUCTURE
The programme for the degree of Master of Science in COMPUTER
SCIENCE shall consist of two Academic years divided into four semesters.
Each semester consist of 90 working days.
The course M.sc in Computer science is very popular amongst the new
rising market and thus has plenty of jobs related to the field.
That is probably the reason that so many students are opting for this
course.
The huge numbers of private as well as government colleges are proof of
the high demand of this course. The demand is high because the course
really has a lot of career opportunities in this modern era.
educational paths to a computer career include majors in fields such as
business, mathematics and engineering with a minor or double major in
computer and information sciences.
17. PROGRAMEE STRUCUTE
The period of study for the degree is two year.
The emphasis in this course is on independent placement work.
educational paths to a computer career include majors in fields such as
business, mathematics and engineering with a minor or double major in
computer and information sciences.
18. MCA (VS) MSC
In the foreign countries post graduate degree only M.S (master of science)
not Master of computer Applications(MCA).so the M.sc computer science
is high eligible for foreign countries.
In M.C.A degree duration on 3 years the syllabus followed by implements
of Under graduate level.
The M.Sc computer science duration on 2 year and syllabus followed by
advance level of trends.
In MCA all allied subject based on UG syllabus
In MCA syllabus is prepared non computer science student easily pickup,
so the syllabus is beginners level only.
No of papers studied in MCA = 25
No of papers studied in MSC = 18
19. RESEARCH
provide the student with the basis of transferable knowledge and skills
necessary for a successful research-oriented career in industry or academia,
with a particular orientation to computing-based disciplines.
understand modes of communication in the computing sciences
appreciate the structure of the literature of the computing sciences in
general and a chosen research field in particular
methodically search the literature to investigate a research topic
make effective presentations both orally and in writing
20. OPPORTUNITIES
The field of Computer Science has a lot of applications in various areas of
work. Therefore various areas need the service of experts in the area of
Computer Science.
Almost every field is computerized now which improves the career aspects
of these graduates. Certain certifications will help them to work in several
job profiles as well.
They can do certain higher studies in the field that will perk up their
remuneration.