Practicum for Engineering Tools

Објавено: June 28, 2022
1. Course Title Practicum for Engineering Tools
2. Code 4ФЕИТ11Л001
3. Study program ТКИИ,КСИАР,КТИ,КХИЕ
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) First cycle
6. Academic year/semester I/2 7. Number of ECTS credits 3
8. Lecturer D-r Marija Markovska Dimitrovska, D-r Marija Kalendar, D-r Mare Srbinovska, D-r Tomislav Shuminoski
9. Course Prerequisites
10. Course Goals (acquired competencies): The aim of the course is to introduce students to the approach and method of solving engineering problems, to present the steps of solving: problem analysis, conceptual solution, choice of technology (hardware and software platform), simulation of the solution, implementation, testing and analysis of the obtained results. The basic focus is on understanding the upper mentioned, regardless of the used technologies. The course is a practicum that illustrates the process of thinking and working in which students are not focused on studying a specific field or technology.
11. Course Syllabus: Definition of problem number 1 and design of solution. Basic Python syntax and simulation of problem solution. Introduction to the Arduino hardware platform. Software solution in Python. Visualization of results. Problem number 2 and design of solution. Basic Matlab syntax and simulation of solution. Introduction to hardware accessories for Arduino. Software solution in Matlab-compatible tool. Visualization of results.
12. Learning methods: Blended teaching method: lecturing, supported by presentations and visualization of concepts, active participation of students through lab exercises, available e-learning materials, project work.
13. Total number of course hours 1 + 0 + 2 + 0
14. Distribution of course hours 90
15. Forms of teaching 15.1. Lectures-theoretical teaching 15
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16. Other course activities 16.1. Projects, seminar papers 15
16.2. Individual tasks 0
16.3. Homework and self-learning 30
17. Grading 17.1. Exams 0
17.2. Seminar work/project (presentation: written and oral) 50
17.3. Activity and participation 50
17.4. Final exam 0
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51to 60 points 6 (six) (E)
from 61to 70 points 7 (seven) (D)
from 71to 80 points 8 (eight) (C)
from 81to 90 points 9 (nine) (B)
from 91to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Lectures attendance and successful completion of lab exercises.
20. Forms of assessment Active work on lab exercises and presentation of a project task.
21. Language Macedonian and English
22. Method of monitoring of teaching quality Internal evaluation and surveys.
23. Literature
23.1. Required Literature
No. Author Title Publisher Year
1 H. Scott Fogler and Steven E. LeBlanc Strategies for creative problem solving Pearson Education, Inc. 2008
2 Pratik Desai Python Programming For Arduino Packt Publishing Ltd. 2015
3 William Bober MATLAB Essentials, A First Course for Engineers and Scientists CRC Press 2018