Mathematics

Computer Programming I(MAT131)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT131 Computer Programming I 1 2 0 0 2 3
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Utku Kabuli AYTAÇ uk.aytac@gmail.com (Email)
Assistant
Objective In MAT131 Computer Programming 1, we will use the Python language to introduce computer science and learn the basic concepts of computer programming.
Content Python programming language and introduction to computer science.
Course Learning Outcomes 1. Algorithmic Thinking
2. Variable Types
3. Basic Mathematical Operators
4. Conditional Expressions
5. Cycles
6. Functions
Teaching and Learning Methods Lecture Exam. Practice. Program writing.
References
Print the course contents
Theory Topics
Week Weekly Contents
1 Algorithmic Thinking
2 Variable Types
3 Conditional Expressions
4 Basic Mathematical Operators
5 Conditional Expressions
6 Loops
7 Loops
8 Loops and Conditional Expressions
9 Loops and Conditional Expressions
10 Functions
11 Functions
12 Functions
13 Functions
14 Functions
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 1 40
Contribution of final exam to overall grade 1 60
Toplam 2 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 1 40
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 1 40
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...);
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad.
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 14 2 28
Total Workload 70
Total Workload / 25 2,80
Credits ECTS 3
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