Course Details

ELE 120 Computers and Programming II
2021-2022 Spring term information

The course is open this term
Section: 21
Supervisor(s):Dr. Ali Ziya Alkar
OnlineWednesday13:00 - 15:45
Section: 22
Supervisor(s):Dr. S. Esen YŁksel
OnlineThursday09:00 - 11:45

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University ( in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 24/05/2022.


Course Name Code Semester Theory
Credit ECTS
COMPUTERS and PROGRAMMING II ELE120 2nd Semester 3 0 3 5
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
Other: This course must be taken together with "ELE 122 Computers and Programming Laboratory" course.  
Instructor (s)Faculty members  
Course objectiveFirst and foremost aim of the course is to teach the student an introduction to programming using C as a programming language. To do this, program analysis, different ways of writing a program and access to a conclusion, efficient program writing, written documentation of the program, the ability to write clear and uniform rules, the acquisition of the appropriate program error debugging is explained. In addition, the ability to create a modular software is aimed. Furthermore, the data structures are explained. Examples from structured programming is taught with C programming as a sample programming language. 
Learning outcomes
  1. A student who completes the course successfully L.O.1. learns a high level language,
  2. L.O.2. models a solution to an encountered problem using a high level language,
  3. L.O.3. learns to solve problems in the most efficient way by knowing and understanding the techniques and algorithms of a high level language.
Course ContentProgramming structures and introduction to high level languages
Program analysis.
Description of the problem solution.
Implementation of algorithms as programs.
Debugging a program.
Reading and storing data.
Input and output features.
Data types.
Introduction to control structures.
Decision structures.
Expressions, strings.
Built-in functions and user defined functions.
Loops and nested loop structures.
Arrays and subscripts. Formatted output and files.
Binary trees and linked lists
ReferencesDeitel P, Deitel H., C How to Program, Pearson.
Hanley J, Koffman E.,Problem Solving and Program Design in C, Pearson.  

Course outline weekly

Week 1Programming structures and introduction to high level languages
Week 2Program analysis. Description of the problem solution. Implementation of algorithms as programs.
Week 3Debugging a program. Reading and storing data. Input and output features. Data types.
Week 4Subroutines, Introduction to control structures.
Week 5Decision structures. Expressions, strings, built-in functions and user defined function.
Week 6Loop and nested loop structures.
Week 7Arrays and subscripts. Formatted output and files.
Week 8Midterm
Week 9Pointers
Week 10Recursion
Week 11Pointers and arrays
Week 12Pointers and arrays
Week 13Binary trees
Week 14Linked lists
Week 15Preparation for the final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Field activities00
Specific practical training00
Final exam140
Percentage of semester activities contributing grade succes760
Percentage of final exam contributing grade succes140

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14342
Presentation / Seminar Preparation000
Homework assignment6318
Midterms (Study duration)12525
Final Exam (Study duration) 12525
Total Workload3659152

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.    X 
2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.   X 
3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.    X 
4. PO4. Designs a system under realistic constraints using modern methods and tools.  X  
5. PO5. Designs and performs an experiment, analyzes and interprets the results.   X 
6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.   X  
7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.  X  
8. PO8. Performs project planning and time management, plans his/her career development. X   
9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.    X
10. PO10. Is competent in oral or written communication; has advanced command of English.X    
11. PO11. Has an awareness of his/her professional, ethical and social responsibilities.X    
12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. X   
13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem. X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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