Course Details

ELE122 - Computers and Programming Laboratory

2023-2024 Spring term information
The course is open this term
Name Surname Position Section
Assoc.Prof.Dr. S. Esen Yüksel Supervisor 21-28
Assoc.Prof.Dr. İsmail Uyanık Supervisor 21-28
Res.Asst. Eren Cem Göksülük Assistant 21-28
Weekly Schedule by Groups
Section Day, Hours, Place
Friday, 13:30 - 15:00, Sim Lab and Online

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.

ELE122 - Computers and Programming Laboratory
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 0 3 1 2
Obligation : Must
Prerequisite courses : -
Concurrent courses : ELE124
Delivery modes : Face-to-Face
Learning and teaching strategies : Question and Answer, Experiment, Other: This course must be taken together with "ELE 120 Computers and Programming II" course.
Course objective : The main objectives of the course are solving various problems with the high level programming language they learn in the "ELE 120 Computers and Programming II" course, acquiring the capability to apply the necessary programming and algorithmic tools to the specific problems and being able to detect and fix potential bugs in the code.
Learning outcomes : A student who completes the course successfully will be able to Analyze the inputs and outputs of a program, Develop an algorithm to solve a problem, Write a program with a high level language, Detect and fix potential bugs and problem in the program.
Course content : Program analysis. Problem solving. Algorithm development. Implementation of algorithms as programs. Debugging programs.
References : Experiment Notes. ; Textbooks of the corresponding concurrent course.
Course Outline Weekly
Weeks Topics
1 Introduction to programming software.
2 Preliminary work (report etc.) for Experiment 1
3 Experiment 1: Basic data types, input/output features.
4 Preliminary work (report etc.) for Experiment 2
5 Experiment 2: Functions and file operations.
6 Preliminary work (report etc.) for Experiment 3
7 Experiment 3: Comparison procedures.
8 Preliminary work (report etc.) for Experiment 4
9 Experiment 4: Loops and nested loops.
10 Preliminary work (report etc.) for Experiment 5
11 Experiment 5: Multidimensional arrays or lists.
12 Preliminary work (report etc.) for Experiment 6
13 Experiment 6: Dynamic data structures.
14 Study week
15 Preparation for the final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 6 60
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 0 0
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 0 0
Final exam 1 40
Total 100
Percentage of semester activities contributing grade success 60
Percentage of final exam contributing grade success 40
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 0 0 0
Laboratory 6 3 18
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 6 4 24
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 0 0 0
Quiz 0 0 0
Midterms (Study Duration) 0 0 0
Final Exam (Study duration) 1 12 12
Total workload 13 19 54
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Minor Program For Non-departmental Students | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Erasmus+ Program | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering