Faculty: Faculty of Engineering
Department(s): CE
Course: Computer Engineering Laboratory I
Weekly hours: Theory: 0 Exercises: 2
ECTS Credits: 4
Semester: Fall
Lecture Schedules:
Time:
Classroom: Computer Lab
Lecturer: Dr. Hiqmet Kamberaj
Room Number:
Phone Number of the lecturer: +389 (0)23174010 (ext. 123)
E-mail address of the lecturer: km.ude.ubi|jarebmakh#km.ude.ubi|jarebmakh
Course Objectives:
In this course we aim to familiarize the students with using the software in the computer lab. In particular, we are going to introduce Matlab. The students will be able to learn about the Matlab desktop environment, expressions in Matlab, functions, how to create simple and advanced plots. In addition, the students will be able to learn how to use the Matlab toolboxes.
Learning Outcomes:
| Skill outcomes | Necessary ( + ) Not Necessary ( –) |
|---|---|
| Written communication skills | + |
| Oral communication skills | + |
| Computer skills | + |
| Working in laboratory | + |
| Working team | + |
| Preparing projects | + |
| Knowledge of foreign language (English) | + |
| Scientific and professional literature analysis | + |
| Problem solving skills | + |
| Management skills | + |
| Presentation skills | + |
Course Textbooks:
- H. Kamberaj, Computer Lab manual for Engineers in Matlab, Part I, International Balkan University, 2015.
Weekly Study Plan
| Weeks | Topics |
|---|---|
| 1 | Introduction to the philosophy of this course. Matlab Development Environment. |
| 2 | Working with matrices in Matlab. |
| 3 | Expressions in Matlab. |
| 4 | Simple Plots in Matlab. |
| 5 | Advanced Plots in Matlab. |
| 6 | Coding in Matlab. |
| 7 | Mid term Discussion. |
| - | Mid Term Exam Week |
| 8 | Creating functions in Matlab. |
| 9 | Numerical methods in Matlab. |
| 10 | Random number generators in Matlab. |
| 11 | Non-uniform random number generators in Matlab. |
| 12 | Random processes in Matlab. |
| 13 | Fitting curves in Matlab. |
| 14 | Final exam Discussion. |
| - | Final exam week. |
Attendance:
- Students are obliged to attend at least 10 weeks out of 14 weeks of lectures, exercises, and other activities (72%).
- The teaching staff should monitor and submit Course Attendance Report to the Student Affairs Office at the end of 14th week of each semester.
- The attendance rule for failed overlapping courses is %36 (5 weeks) and for non-overlapping courses is 57% (8 weeks);
- The attendance rule for course from upper semester is 57% (8 weeks).
- Students are not obliged to attend the course if the course is double repeated. However, they need to register and to pay repeated course.
Exams (Mid-Term Exam, Final Exam, Make-up Exam):
There are two exams, the Mid-Term and Final Exam, at the middle and at the end of the semester, respectively. The students, who do not earn minimum 50 credit points from the Mid-Term, Final Exam including Homework Assignments, have to take the Make-Up Exam, which counts only for Final Exam credit points. The terms of the exams are defined by the Academic Calendar announced on the University web site.
Passing Score:
The maximum number of credit points is collected during the semester, as follows: Mid-term Exam = 40 Credit Points (minimum requirement is 25 % to enter Final Exam), Final Exam (minimum requirement is 25 % to pass) = 40 Credit Points. Homeworks, quizzes, specific assignments and term papers = 20 Credit Points (minimum requirement is 5 credit points to enter Final Exam). Total=100.
Teaching methods:
| Teaching methods | Ideal % |
|---|---|
| Teaching ex cathedra (teacher as the figure of authority, standing in front of the class and lecturing) | 10 |
| Interactive teaching (ask questions in class, assign and check homework, or hold class or group discussions) | 10 |
| Mentor teaching (consultant-teacher who has a supervisory responsibility and supervising the students) | - |
| Laboratory work | 70 |
| Seminar work | - |
| Field Work (enables students to examine the theories and the practical experiences of a particular discipline interact) | - |
| Semester project | 5 |
| Case Study (An in-depth exploration of a particular context) | - |
| Students Team work | 5 |
Student workload:
For calculating the Total Student Work Load we multiply the course ECTS credits with standard figure 30. (ECTS Credit: 4) x 30 = 120 hours.
| Activities | Hours |
|---|---|
| Lecture hours for 14 weeks: | - |
| Laboratory and class exercises for 14 weeks: | 28 |
| Student Mentoring for 14 weeks: | - |
| Consultation for 14 weeks: | 2 |
| Exam preparations and exam hours (Midterm, final, Makeups) : | 42 |
| Individual reading work for 14 weeks (Reading assignments/expectations for reading and comprehension is 5 pages per hour. Example: If a book 300 pages, total Individual reading work for 14 weeks 300:5 = 60 hours. | 30 |
| Homework and work practice for 14 weeks: | 18 |
| Preparation of diploma work, for 14 weeks: | - |
