ECTS - Analysis and Design of Algorithms for Social Sciences
Analysis and Design of Algorithms for Social Sciences (ECON551) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Analysis and Design of Algorithms for Social Sciences | ECON551 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Social Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | This course provides an understanding of the application of software technologies that enables users to make better and faster decisions based on big data features. Students will learn the principles and best practices for how to use big data in order to support fact-based decision-making. Emphasis will be given to applications in various data which has big data facilities. Therefore, in this course, the algorithms which are given in the class targeted the big data facilities in order to teach student this structure. |
| Course Learning Outcomes |
The students who succeeded in this course;
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| Course Content | Review of algorithm analysis; divide and conquer algorithms; graphs; dynamic programming; greedy algorithms; randomized algorithms; P and NP; approximate algorithms for NP-hard problems or polynomial algorithms for subproblems of NP-hard problems; partial recursive functions; computations and undecidable problems. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Search and Sorting | Lecture notes are available |
| 2 | Divide and Conquer Algorithms | Lecture notes are available |
| 3 | Graphs, Project Proposal | Lecture notes are available |
| 4 | Dynamic Programming | Lecture notes are available |
| 5 | Dynamic Programming | Lecture notes are available |
| 6 | Greedy Algorithms | Lecture notes are available |
| 7 | Randomized Algorithms | Lecture notes are available |
| 8 | P and NP | Lecture notes are available |
| 9 | Work with NP Hard Problems | Lecture notes are available |
| 10 | Work with NP Hard Problems | Lecture notes are available |
| 11 | Partial Recursive function | Lecture notes are available |
| 12 | Computations and Unsolvable Problems | Lecture notes are available |
| 13 | Computations and Unsolvable Problems, Final Presentation of Project | Lecture notes are available |
| 14 | Final Exam |
Sources
| Other Sources | 1. Ders Notları/ Lecture notes are available |
|---|
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 14 | 10 |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | 2 | 20 |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 20 |
| Final Exam/Final Jury | - | - |
| Toplam | 17 | 50 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Have advanced level of knowledge about the field of Public Finance-Tax in order to gain practical gains. | |||||
| 2 | He/she can identify the issues related to Finance-Tax area by considering them within the framework of a method and report and evaluate them from an analytical point of view. | |||||
| 3 | Able to understand, interpret and analyze economic and financial events, equipped with knowledge of certain disciplines, especially economics, business and law | |||||
| 4 | Develops policies and strategies for the solution of problems by establishing the cause-effect relationship related to financial and economic problems through theoretical information and current discussions, by making financial analyzes. | |||||
| 5 | By establishing the relationship of public financial management and budget theory with public policies, he/she makes strong budget analysis, develops analyzes on public finance and establishes the policy implementation relationship. | |||||
| 6 | Understanding tax theory, learning the legal background, following the developments and gaining a professional competence in tax matters effectively develop it. | |||||
| 7 | Have knowledge of accounting systems in private and public institutions and businesses, analyze and interpret the financial and financial structure of businesses with the knowledge and competence gained. | |||||
| 8 | Gain knowledge of macroeconomic structure and growth theory, including theoretical and country examples, and evaluate economic developments from a theoretical perspective. | |||||
| 9 | Can use foreign language in financial and economic fields, follow international literature, communicate on professional issues. | |||||
| 10 | By using information technologies, digital developments and common software, it benefits from technological developments in studies specific to its field. | |||||
| 11 | It uses qualitative and quantitative methods necessary for the analysis of economic, financial, social and institutional events. | |||||
| 12 | While fulfilling its academic and professional responsibilities, the United Nations develops an approach that respects sustainable development goals, fundamental freedoms, disadvantaged groups, the environment, cultural and moral values. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 14 | 3 | 42 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | 1 | 21 | 21 |
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 25 | 25 |
| Total Workload | 150 | ||