1	Course Title:	FUNDAMENTALS OF COMPUTER PROGRAMMING
2	Course Code:	END1030
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	1
6	Semester:	2
7	ECTS Credits Allocated:	3
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	1
11	Prerequisites:	-
12	Recommended optional programme components:	None
13	Language:	English
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Dr. Ögr. Üyesi BESİM TÜRKER ÖZALP
16	Course Lecturers:	-
17	Contactinformation of the Course Coordinator:	tozalp@uludag.edu.tr, 0-224-2942090, Endüstri Müh. Bölümü Oda No:302 Görükle Bursa
18	Website:
19	Objective of the Course:	Introduction to computer programming with the impacts of computers on society and engineering. Emphasis will be placed on algorithms and logical problem solving methods.
20	Contribution of the Course to Professional Development	To be able to use basic computer applications. To be able to comprehend algorithm logic for solving basic mathematical problems. Ability to categorize computational problems and offer potential solutions. Being able to design algorithms and software within computer skills. To be able to follow the literature about programming and use international resources.

21

Learning Outcomes:

1 To be able to use basic computer applications.; 2 To be able to comprehend the logic of the algorithms for the solution of basic mathematical problems.; 3 To be able to categorize computational problems and offer potential solutions to them.; 4 To be able to design algorithms and software within computer skills.; 5 To be able to follow the literature on programming and use international resources.;

22	Course Content:

Week	Theoretical	Practical
1	Computers and Introduction to Python.	Anaconda and installation of modules.
2	Introduction to Python Programming and JupyterLab. Arithmetic, equality and relation operators.	Jupyterlab and Jupyter Notebook introduction.
3	Introduction to Control Statements. Algorithms, flow charts, pseudocode preparation.	Jupyter Notebook applications regarding the theoretical lecture topic.
4	Decision Making: The if Statement and Comparison Operators.	Jupyter Notebook applications regarding the theoretical lecture topic.
5	While statement. Compound assignment operators.	Jupyter Notebook applications regarding the theoretical lecture topic.
6	For loop statement. Augmented Assignments.	Jupyter Notebook applications regarding the theoretical lecture topic.
7	Counter-controlled loops, sentinel-controlled loops.	Jupyter Notebook applications regarding the theoretical lecture topic.
8	Nested control statements, nested loop statements.	Jupyter Notebook applications regarding the theoretical lecture topic.
9	break and continue Statements. Logical Operators.	Jupyter Notebook applications regarding the theoretical lecture topic.
10	Introduction to Functions. Random-Number Generation. Scope Rules.	Jupyter Notebook applications regarding the theoretical lecture topic.
11	Sequences: Lists and Tuples. Sequence Slicing. Sorting and searching sequences.	Jupyter Notebook applications regarding the theoretical lecture topic.
12	List Comprehensions, Generator Expressions, Filter, Map and Reduce.	Jupyter Notebook applications regarding the theoretical lecture topic.
13	Dictionaries.	Jupyter Notebook applications regarding the theoretical lecture topic.
14	Sets.	Jupyter Notebook applications regarding the theoretical lecture topic.

23	Textbooks, References and/or Other Materials:	P. Deitel, H. Deitel - Intro to Python for Computer Science and Data Science, Global Edition, Pearson, 2021
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	20
Quiz	0	0
Homeworks, Performances	1	20
Final Exam	1	60
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	The proficiency of the students is measured and evaluated by homework, midterm and final exams.
Information

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ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	2	28
Practicals/Labs	14	1	14
Self Study and Preparation	14	3	42
Homeworks, Performances	1	2	4
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	1	1
Others	0	0	0
Final Exams	1	1	1
Total WorkLoad			90
Total workload/ 30 hr			3
ECTS Credit of the Course			3

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 PQ13 PQ14 PQ15 PQ16 PQ17 PQ18 PQ19 PQ20 PQ21 PQ22 PQ23 PQ24 LO1 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 LO2 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 LO3 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 LO4 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 LO5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High