Top 5 Data Structures and Algorithms Courses
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Tutort Academy offers courses on data structures and algorithms. We have a center in Bangalore and provide comprehensive training in programming and the latest technologies. We also provide DSA live classes.
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Running Header PROJECT PHASE 1 .docx
Running Header: PROJECT PHASE 1 1
PROJECT PHASE 1 4
Final Project Phase 1: Business-Related Research Premise
Aaron Bryant
Shorter University
Final Project Phase 1: Business-Related Research Premise
Background
Executive compensation is the financial and non-financial awards given to executives and other high ranking officials with in corporations. These awards typical come in the form of base salary, annual incentives, and long-term incentives, and perquisites such as personal use of corporate aircraft, company cars, and business expense accounts (Cormany, 2017). Compensation for executives has steadily increased over the years but there has been dramatic jumps in pay since the 1970s. The latest dramatic increase was in 2010, when executive compensation increased 11% (Cormany, 2017).
The board of directors are legally and morally responsible for monitoring and awarding executives and company leaders. In many cases they help decide what compensation is given to executives. To help with the contract decisions about executive pay, a compensation consultant firm may be hired.
Managerial Relevance
Many corporations use compensation consultants to help figure out how much to compensate there executives. If a consultant firm helps an executive increase his/her compensation, they can be later hired for more billable hours as compensation in return. So intern, does the hiring of compensation firms increase executive compensation.
Theoretical Framework
The hiring of compensation consultants and the increase in compensation of executives are related
Research Methodology and Design
A non-contrived case study using minimal interference will be used in this study.
References
Cormany, D. L. . P. candidate. (2017). Executive Compensation. Salem Press Encyclopedia. Retrieved from http://proxygsu-sho1.galileo.usg.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=ers&AN=89550569&site=eds-live&scope=site
Syllabus Page 1 of 12
Business Analytics and Research
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Online Syllabus
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Instructor Information
See link in Canvas.
Course Information
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• Course Number: BUS 5250
• Credit Hours: 3
• Prerequisites: Undergraduate Statistics Course
Course Description
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Predicting students performance using classification techniques in data miningLovely Professional University
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CIS_515_Week_3_Assignment352866 (1).doc
University Database
1
2
University Database
CIS-515
Strayer University
In an Entity Relationship Model (ERM), an entity can be a real-world object, either animate or inanimate, that can be easily identifiable. For example, in a school database, students, teachers, classes, and courses offered can be considered as entities. All these entities have some attributes or properties that give them their identity.()
StudentGradeDetails
PK,FK2StudentID
FK1Grade
I1CourseId
CollegeCampusDetails
PKCollegeID
CollegeName
CollegeAddress
CollegeContactDetails
StudentUniversityCampus
PK,FK2StudentID
FK3,I2UniversityId
FK1,I1CollegeID
CourseDetails
PKCourseID
CourseName
CourseType
I2UniversityID
FK1,I1CollegeID
UniversityCollegeDetails
PKUniversityID
FK1,I1CollegeID
UniversityDetails
PKUniversityID
UniversityName
UniversityNumber
UniversityAddress
UniversityContactDetails
ProfessorCollegeUniversity
PK,FK2ProfessorID
FK3,I2UniversityID
FK1,I1CollegeID
ProfessorDetails
PKProfessorID
ProfessorName
ProfessorAddress
ProfessorContactDetails
StudentCoursesEnrolled
PKEnrolledID
I3StudentID
FK1,I1CollegeID
FK2,FK3,I2CourseID
CourseCompulsion
StudentDetails
PKStudentID
StudentName
StudentAddress
StudentContactDetails
StudentRemarks
Entity relationship models are limited in what they can express. It helps to be aware of the limitations up front, since they can affect the choices you make as to how you represent the enterprise you are modeling. , there are different limitations and assumptions below.
1. There might be various universities or colleges that can be under a single university according to the database.
2. The University has various schools, and the schools might have the verity of courses offered.
3. The courses being offered will normally be connected with students, and the students are allowed to enroll for more than one course.
4. There will be only a single grade for a student in one course.
5. The students will usually be enrolled in only one university.
When creating a database a database ERM diagram, it is greatly important to give appropriate consideration to the different limitations and assumptions designed (Gelinas, U. J., Sutton, S. G., & Fedorowicz, J. 2004). To facilitate the creation of our proposed database, the above limitations and assumptions will be of great importance for consideration. The above assumptions and limitations will be considered when creating the university database since they will facilitate achievement of the database objectives.
Create the primary key and foreign keys using a UML Class diagram for each table.
The Unified Modeling Language is used withing a given methodology to help others understand and application under develotment, the diagrams offer good introduction and understanding to the language the most useful, standard UML ...
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Running Header PROJECT PHASE 1 .docx
Running Header: PROJECT PHASE 1 1
PROJECT PHASE 1 4
Final Project Phase 1: Business-Related Research Premise
Aaron Bryant
Shorter University
Final Project Phase 1: Business-Related Research Premise
Background
Executive compensation is the financial and non-financial awards given to executives and other high ranking officials with in corporations. These awards typical come in the form of base salary, annual incentives, and long-term incentives, and perquisites such as personal use of corporate aircraft, company cars, and business expense accounts (Cormany, 2017). Compensation for executives has steadily increased over the years but there has been dramatic jumps in pay since the 1970s. The latest dramatic increase was in 2010, when executive compensation increased 11% (Cormany, 2017).
The board of directors are legally and morally responsible for monitoring and awarding executives and company leaders. In many cases they help decide what compensation is given to executives. To help with the contract decisions about executive pay, a compensation consultant firm may be hired.
Managerial Relevance
Many corporations use compensation consultants to help figure out how much to compensate there executives. If a consultant firm helps an executive increase his/her compensation, they can be later hired for more billable hours as compensation in return. So intern, does the hiring of compensation firms increase executive compensation.
Theoretical Framework
The hiring of compensation consultants and the increase in compensation of executives are related
Research Methodology and Design
A non-contrived case study using minimal interference will be used in this study.
References
Cormany, D. L. . P. candidate. (2017). Executive Compensation. Salem Press Encyclopedia. Retrieved from http://proxygsu-sho1.galileo.usg.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=ers&AN=89550569&site=eds-live&scope=site
Syllabus Page 1 of 12
Business Analytics and Research
Methods
Online Syllabus
Shorter University
Instructor Information
See link in Canvas.
Course Information
• Course: Business Analytics and Research Methods
• Course Number: BUS 5250
• Credit Hours: 3
• Prerequisites: Undergraduate Statistics Course
Course Description
Today’s business environment requires managers to be able to make decisions based on data
and draw inferences through the use of software and other analytical tools. This Business
Analytics and Research Methods course will introduce the students to business research
methodology and the analytical tools used to collect and assess different types of data. This
course will include a review of the basics .
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Predicting students performance using classification techniques in data mining
Predicting students performance using classification techniques in data miningLovely Professional University
Role of education is very critical for the development of any country. So it is the responsibility of each and every person to do something for the betterment of education. Taking this fact into consideration we start working on the education system. Education system ranging from basic to higher education. Now a day education system generates a lots of data related to student. If we cannot analyze that data properly then that data is useless. With the help of data mining techniques we can find the hidden information from the data collected for the different educational setting. With the help of that information we can review our educational process or make improvement in our education system. Here in this article we are considering a case of an engineering college student and try to predict the final result in advance. The result of the prediction provides timely help to those students who are on risk of failure in the final examination. There are different techniques of data mining are available and we are using J48, RandomForest, and ADTree to predict the performance of the student in their final examination. On the basis of this predication we can make a decision whether the student will be promoted to next year or not. We the help of the result we can improve the performance of the student who are on risk of fail or promoted. After the declaration of the final result of the student, result is fed into the system and hence the result will analysed for the next semester. The comparative result shows that, prediction help in the improvement of overall result of the weaker students.CIS_515_Week_3_Assignment352866 (1).docUniversity Database .docx
CIS_515_Week_3_Assignment352866 (1).doc
University Database
1
2
University Database
CIS-515
Strayer University
In an Entity Relationship Model (ERM), an entity can be a real-world object, either animate or inanimate, that can be easily identifiable. For example, in a school database, students, teachers, classes, and courses offered can be considered as entities. All these entities have some attributes or properties that give them their identity.()
StudentGradeDetails
PK,FK2StudentID
FK1Grade
I1CourseId
CollegeCampusDetails
PKCollegeID
CollegeName
CollegeAddress
CollegeContactDetails
StudentUniversityCampus
PK,FK2StudentID
FK3,I2UniversityId
FK1,I1CollegeID
CourseDetails
PKCourseID
CourseName
CourseType
I2UniversityID
FK1,I1CollegeID
UniversityCollegeDetails
PKUniversityID
FK1,I1CollegeID
UniversityDetails
PKUniversityID
UniversityName
UniversityNumber
UniversityAddress
UniversityContactDetails
ProfessorCollegeUniversity
PK,FK2ProfessorID
FK3,I2UniversityID
FK1,I1CollegeID
ProfessorDetails
PKProfessorID
ProfessorName
ProfessorAddress
ProfessorContactDetails
StudentCoursesEnrolled
PKEnrolledID
I3StudentID
FK1,I1CollegeID
FK2,FK3,I2CourseID
CourseCompulsion
StudentDetails
PKStudentID
StudentName
StudentAddress
StudentContactDetails
StudentRemarks
Entity relationship models are limited in what they can express. It helps to be aware of the limitations up front, since they can affect the choices you make as to how you represent the enterprise you are modeling. , there are different limitations and assumptions below.
1. There might be various universities or colleges that can be under a single university according to the database.
2. The University has various schools, and the schools might have the verity of courses offered.
3. The courses being offered will normally be connected with students, and the students are allowed to enroll for more than one course.
4. There will be only a single grade for a student in one course.
5. The students will usually be enrolled in only one university.
When creating a database a database ERM diagram, it is greatly important to give appropriate consideration to the different limitations and assumptions designed (Gelinas, U. J., Sutton, S. G., & Fedorowicz, J. 2004). To facilitate the creation of our proposed database, the above limitations and assumptions will be of great importance for consideration. The above assumptions and limitations will be considered when creating the university database since they will facilitate achievement of the database objectives.
Create the primary key and foreign keys using a UML Class diagram for each table.
The Unified Modeling Language is used withing a given methodology to help others understand and application under develotment, the diagrams offer good introduction and understanding to the language the most useful, standard UML ...
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Campus Karma - India's first campus social networking website
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Top 5 Data Structures and Algorithms Courses
- 1. Top 5 Data Structures and Algorithms Courses
- 2. I can provide you with some popular data structure courses in Bangalore that you can consider. It's always a good idea to research and read reviews before enrolling in any course to find the one that best suits your needs. Here are a few options:
- 3. 1. Indian Institute of Science (IISc) Bangalore: IISc offers various courses in computer science and has a strong reputation for academic excellence. They offer a course on "Data Structures and Algorithms" as part of their computer science curriculum.
- 4. 2. Indian Institute of Technology (IIT) Bangalore: IIT Bangalore is another prestigious institution that offers computer science courses. They have a course called "Design and Analysis of Algorithms" as part of their curriculum.
- 5. 3. Tutort Academy: Tutort Academy offers courses on data structures and algorithms. We have a center in Bangalore and provide comprehensive training in programming and the latest technologies. We also provide DSA live classes.
- 6. 4. Udemy: Udemy is an online learning platform that offers a wide range of courses, including data structures and algorithms. You can find highly rated courses on topics like "Master the Coding Interview: Data Structures + Algorithms" or "Data Structures and Algorithms: Deep Dive Using Java."
- 7. 5. Coursera: Coursera is another online learning platform that partners with universities and organizations to offer courses. They have courses on data structures and algorithms from reputed institutions like Stanford University and Princeton University.
- 8. Conclusion Remember to check the course syllabus, instructor qualifications, student reviews, and pricing before making a decision. Additionally, consider your learning style and preferences, whether you prefer in- person instruction or online courses, and your budget while selecting the best course for you. I have found the best course to be from Tutort Academy as it fits all the criteria that I was looking for.