ACADEMICS
Course Details

ELE 122 Computers and Programming Laboratory
2019-2020 Fall term information

The course is not open this term

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 (http://akts.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

ELE122 - COMPUTERS and PROGRAMMING LABORATORY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
COMPUTERS and PROGRAMMING LABORATORY ELE122 2nd Semester 0 3 1 2
Prerequisite(s)None
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesQuestion and Answer
Experiment
Other: This course must be taken together with "ELE 120 Computers and Programming II" course.  
Instructor (s)Faculty members  
Course objectiveThe 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
  1. A student who completes the course successfully will be able to L.O.1. Analyze the inputs and outputs of a program,
  2. L.O.2. Develop an algorithm to solve a problem,
  3. L.O.3. Write a program with a high level language,
  4. L.O.4. Detect and fix potential bugs and problem in the program.
Course ContentProgram analysis.
Problem solving.
Algorithm development.
Implementation of algorithms as programs.
Debugging programs.
 
ReferencesExperiment Notes.
Textbooks of the corresponding concurrent course.
 

Course outline weekly

WeeksTopics
Week 1Introduction to programming software.
Week 2Preliminary work (report etc.) for Experiment 1
Week 3Experiment 1: Basic data types, input/output features.
Week 4Preliminary work (report etc.) for Experiment 2
Week 5Experiment 2: Functions and file operations.
Week 6Preliminary work (report etc.) for Experiment 3
Week 7Experiment 3: Comparison procedures.
Week 8Preliminary work (report etc.) for Experiment 4
Week 9Experiment 4: Loops and nested loops.
Week 10Preliminary work (report etc.) for Experiment 5
Week 11Experiment 5: Multidimensional arrays or lists.
Week 12Preliminary work (report etc.) for Experiment 6
Week 13Experiment 6: Dynamic data structures.
Week 14Study week
Week 15Preparation for the final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory660
Application00
Field activities00
Specific practical training00
Assignments00
Presentation00
Project00
Seminar00
Midterms00
Final exam140
Total100
Percentage of semester activities contributing grade succes660
Percentage of final exam contributing grade succes140
Total100

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 0 0 0
Laboratory 6 3 18
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)6424
Presentation / Seminar Preparation000
Project000
Homework assignment000
Midterms (Study duration)000
Final Exam (Study duration) 11212
Total Workload131954

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
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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