MATHEMATICS (TURKISH, PHD) | |||||
PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
CET1102 | Algorithm Design and Development | Fall | 2 | 2 | 3 | 5 |
The course opens with the approval of the Department at the beginning of each semester |
Language of instruction: | En |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Assist. Prof. TUĞCAN DEMİR |
Course Objectives: | The aim of this course is to teach how to design necessary procedures to solve given problems and to teach how to program these solutions in C programing language. |
The students who have succeeded in this course; Students will be able to Design algorithms for given problems Creates flowcharts of algorithms Develops C programs from designed algorithms |
The importance of algorithms in problem solving and programming; algorithm design techniques; flowcharts and workflows; visualization of algorithms and flowcharts; input / output concepts; main data types; constants and variables; operators and priorities; decision making; loops; function usage; applicability of different algorithms for solving problems; searching and sorting algorithms; examples of problem solving and designing algorithms; block and text based programming environments. |
Week | Subject | Related Preparation | |
1) | Introduction | ||
2) | A general introduction to programming | ||
3) | Variables and main data types | ||
4) | Logical and Mathematical Operations | ||
5) | Controls (Decision Structures) | ||
6) | Flowcharts | ||
7) | Converting a problem to a program | ||
8) | Sample Applications | ||
9) | Midterm | ||
10) | Loops | ||
11) | Functions | ||
12) | Arrays | ||
13) | Review | ||
14) | Final Exam |
Course Notes: | Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to Algorithms. Third Edition. MIT Press: Cambridge, MA. |
References: |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 14 | % 10 |
Laboratory | % 0 | |
Application | % 0 | |
Field Work | % 0 | |
Special Course Internship (Work Placement) | % 0 | |
Quizzes | % 0 | |
Homework Assignments | 7 | % 20 |
Presentation | % 0 | |
Project | % 0 | |
Seminar | % 0 | |
Midterms | 1 | % 25 |
Preliminary Jury | % 0 | |
Final | 1 | % 45 |
Paper Submission | % 0 | |
Jury | % 0 | |
Bütünleme | % 0 | |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 55 | |
PERCENTAGE OF FINAL WORK | % 45 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 2 | 28 |
Laboratory | 14 | 2 | 28 |
Application | 0 | 0 | 0 |
Special Course Internship (Work Placement) | 0 | 0 | 0 |
Field Work | 0 | 0 | 0 |
Study Hours Out of Class | 0 | 0 | 0 |
Presentations / Seminar | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework Assignments | 7 | 5 | 35 |
Quizzes | 0 | 0 | 0 |
Preliminary Jury | 0 | 0 | 0 |
Midterms | 1 | 15 | 15 |
Paper Submission | 0 | 0 | 0 |
Jury | 0 | 0 | 0 |
Final | 1 | 30 | 30 |
Total Workload | 136 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Be able to organize events, for the development of critical and creative thinking and problem solving skills, by using appropriate methods and techniques. | |
2) | Ability to make individual and team work on issues related to working and social life. | |
3) | Ability to transfer ideas and suggestions, related to topics about his/her field of interest, written and verball. | |
4) | Ability to use mathematical knowledge in technology. | |
5) | To apply mathematical principles to real world problems. | |
6) | Ability to use the approaches and knowledge of other disciplines in Mathematics. | |
7) | Be able to set up and develope a solution method for a problem in mathematics independently, be able to solve and evaluate the results and to apply them if necessary. | |
8) | To be able to link abstract thought that one has to concrete events and to transfer the solutions and examine and interpret the results scientifically by forming experiments and collecting data. |