Syllabus ( INF 101 )
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Basic information
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| Course title: |
Introduction to Computing |
| Course code: |
INF 101 |
| Lecturer: |
Assoc. Prof. Dr. Büşra ÖZDENİZCİ KÖSE
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| ECTS credits: |
4 |
| GTU credits: |
3 (3+0+0) |
| Year, Semester: |
1, Spring |
| Level of course: |
First Cycle (Undergraduate) |
| Type of course: |
Elective
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| Language of instruction: |
English
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| Mode of delivery: |
Face to face , Lab work
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| Pre- and co-requisites: |
none |
| Professional practice: |
No |
| Purpose of the course: |
In this course, we aim to ensure that our students acquire the Python Programming language and its main concepts. |
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Learning outcomes
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Upon successful completion of this course, students will be able to:
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Apply the Object Oriented Programming (OOP) based software development methodology
Contribution to Program Outcomes
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Obtain basic knowledge of Computer Engineering
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Design and develop hardware and/or software-based systems, components or processes in order to solve the defined problems.
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Obtain necessary technical, academic and practical knowledge
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Find out new methods to improve his/her knowledge.
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Develop awareness for safe and healthy management of Project, concern for workshop environment and related legal issues
Method of assessment
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Written exam
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Laboratory exercise/exam
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Gain comprehensive understanding of Java programming essentials,
Contribution to Program Outcomes
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Obtain basic knowledge of Computer Engineering
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Design and develop hardware and/or software-based systems, components or processes in order to solve the defined problems.
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Obtain necessary technical, academic and practical knowledge
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Find out new methods to improve his/her knowledge.
Method of assessment
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Written exam
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Laboratory exercise/exam
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Develop problem solving skills using Java language
Contribution to Program Outcomes
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Obtain basic knowledge of Computer Engineering
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Design and develop hardware and/or software-based systems, components or processes in order to solve the defined problems.
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Obtain necessary technical, academic and practical knowledge
-
Find out new methods to improve his/her knowledge.
Method of assessment
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Written exam
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Laboratory exercise/exam
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Have ability to develop Java programs using Java development environment
Contribution to Program Outcomes
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Obtain basic knowledge of Computer Engineering
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Design and develop hardware and/or software-based systems, components or processes in order to solve the defined problems.
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Obtain necessary technical, academic and practical knowledge
-
Find out new methods to improve his/her knowledge.
Method of assessment
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Written exam
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Laboratory exercise/exam
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Contents
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| Week 1: |
Introduction to Python language
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| Week 2: |
Python Programming Language, Python Development Environments, First Python program
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| Week 3: |
Operators
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| Week 4: |
Data types and comparisons, arrays
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| Week 5: |
Standard Entry/Exit |
| Week 6: |
Loops and Conditionals |
| Week 7: |
Functions and Local/Global Variables
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| Week 8: |
Opening/Reading/Writing a File, Midterm Exam |
| Week 9: |
Libraries and Modules
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| Week 10: |
Debugging Python
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| Week 11: |
Module Summoning
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| Week 12: |
Graphical User Interfaces (GUI)
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| Week 13: |
Modeling and simulation
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| Week 14: |
Understanding Class and Object Structures, General Review
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| Week 15*: |
Understanding Class and Objects |
| Week 16*: |
Final Exam |
| Textbooks and materials: |
Introduction to Java Programming, 8th Edition, Y. Daniel Liang, Pearson Publishing, 2011, ISBN: 978-0132473118
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| Recommended readings: |
Introduction to Java Programming, 8th Edition, Y. Daniel Liang, Pearson Publishing, 2011, ISBN: 978-0132473118
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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Assessment
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| Method of assessment |
Week number |
Weight (%) |
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| Mid-terms: |
8 |
30 |
| Other in-term studies: |
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0 |
| Project: |
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0 |
| Homework: |
4, 10 |
30 |
| Quiz: |
0 |
0 |
| Final exam: |
16 |
40 |
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Total weight: |
(%) |
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Workload
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| Activity |
Duration (Hours per week) |
Total number of weeks |
Total hours in term |
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| Courses (Face-to-face teaching): |
2 |
14 |
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| Own studies outside class: |
1 |
5 |
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| Practice, Recitation: |
2 |
14 |
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| Homework: |
4 |
2 |
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| Term project: |
0 |
0 |
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| Term project presentation: |
0 |
0 |
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| Quiz: |
0 |
0 |
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| Own study for mid-term exam: |
1 |
7 |
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| Mid-term: |
1 |
1 |
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| Personal studies for final exam: |
2 |
14 |
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| Final exam: |
1 |
1 |
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Total workload: |
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Total ECTS credits: |
* |
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* ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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