Algorithm-based Economic Modeling
Economic Development and International Economics
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Algorithm-based Economic Modeling | ITY109 | Elective | Master's degree | 1 | Fall | 6 |
Name of Lecturer(s)
Prof. Dr. Selçuk KOÇ
Prof. Dr. Recep TARI
Assistant Prof. Dr. Muhammet Rıdvan İNCE
Learning Outcomes of the Course Unit
1) Can design algorithms and analyze existing algorithms.
2) Acquire Basic Programming Skills
3) Knows Python Software and Libraries
4) Develops Micro Economics Applications
5) Develops Macroeconomics Applications
6) Interprets the results by performing Data Analysis and Simulation
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | ||
| Learning Outcomes | ||||||||||||||||
| 1 | No relation | Middle | High | Low | High | No relation | High | No relation | No relation | No relation | No relation | No relation | Low | No relation | No relation | |
| 2 | No relation | Middle | High | Low | High | No relation | High | No relation | No relation | No relation | No relation | No relation | Low | No relation | No relation | |
| 3 | No relation | Middle | High | Low | High | No relation | High | No relation | No relation | No relation | No relation | No relation | Low | No relation | No relation | |
| 4 | High | High | High | Low | High | Low | High | Middle | Low | Low | Middle | Low | High | Middle | Middle | |
| 5 | High | High | High | Low | High | Low | High | Middle | Low | Low | Middle | Low | High | Middle | Middle | |
| 6 | High | High | High | Low | High | Low | High | Middle | No relation | Low | Middle | Low | High | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
.
Course Contents
This course teaches students fundamental programming skills, algorithm design, and the Python programming language, integrating computer science with economics. They learn data manipulation, statistical analysis, and visualization using Python libraries like Pandas, NumPy, and Matplotlib. Moreover, they apply computer tools in micro and macroeconomics to analyze economic models and make decisions using real-world data simulations.
Weekly Schedule
1) Basic concepts of algorithm design2) Basic programming techniques - data types
3) Basic programming techniques - if-else structure, while loops, for loops
4) Basic programming techniques - functions
5) Python numpy and matplotlib libraries
6) python pandas and Scipy libraries
7) python numpy, matplotlib, pandas and scipy libraries
8) Application
9) Consumer and producer benefit and profit optimization algorithms
10) Cost minimization algorithms
11) Market (Perfect competition, oligopoly, monopoly) equilibrium algorithms
12) Keynesian model equilibrium algorithms
13) IS-LM-BP model balance algorithms
14) Total supply total demand model balance algorithms
15) Machine learning algorithms in economics
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Practices to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required