ACADEMICS
Course Details

ELE120 - Computers and Programming II

2023-2024 Fall term information
The course is not open this term
ELE120 - Computers and Programming II
Program Theoretýcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 5
Obligation : Must
Prerequisite courses : -
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving, Other: This course must be taken together with "ELE 122 Computers and Programming Laboratory" course.
Course objective : First 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 : A student who completes the course successfully learns a high level language, models a solution to an encountered problem using a high level language, learns to solve problems in the most efficient way by knowing and understanding the techniques and algorithms of a high level language.
Course content : Programming 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. Subroutines. Arrays and subscripts. Formatted output and files. Pointers Recursion. Binary trees and linked lists
References : Deitel P, Deitel H., C How to Program, Pearson.; Hanley J, Koffman E.,Problem Solving and Program Design in C, Pearson.
Course Outline Weekly
Weeks Topics
1 Programming structures and introduction to high level languages
2 Program analysis. Description of the problem solution. Implementation of algorithms as programs.
3 Debugging a program. Reading and storing data. Input and output features. Data types.
4 Subroutines, Introduction to control structures.
5 Decision structures. Expressions, strings, built-in functions and user defined function.
6 Loop and nested loop structures.
7 Arrays and subscripts. Formatted output and files.
8 Midterm
9 Pointers
10 Recursion
11 Pointers and arrays
12 Pointers and arrays
13 Binary trees
14 Linked lists
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 6 20
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
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 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 3 42
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 6 3 18
Quiz 0 0 0
Midterms (Study Duration) 1 25 25
Final Exam (Study duration) 1 25 25
Total workload 36 59 152
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 | 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