B.Sc. (General) Degree Program with Electronics & Embedded Systems as a Subject
Course Code: EES
Duration: 3 years
Subject Combinations:
| Combination No. | Combinations available for Physical Science students |
| Physics, Mathematics, Electronics & Embedded Systems |
Career opportunities
The majority of students who are completing the B.Sc. General degree tend to seek job opportunities in academia as well as in industry. Therefore, a general degree program which is focused on producing graduates with more practical knowledge will certainly be of high demand. Also, with the rapid development of technology, automation, internet of things, and robotics applications are integrated in to our lives as in telecommunication, health systems, entertainment, security, etc. Therefore, the emerging employment trends seek for graduates with knowledge in Electronics & Embedded Systems to develop automation, robotics and internet of things projects. The proposed Electronics & Embedded Systems course will be structured in a way that the students will gain knowledge in demanding fields thus opening new avenues of employment for science graduates.
Course overview
The developed curriculum of the Electronics & Embedded Systems program is structured to provide the prospective students a solid foundation of theory and practical in Physics, Electronics, Programming and Mathematics during their first two academic years. Therefore, the students to follow this undergraduate subject should select the combination containing Physics, Mathematics, and Electronics & Embedded Systems. The third year of study is emphasized more on application oriented courses thus included course units in embedded electronics, internet-of-things (IoT), robotics, instrumentation, and automation.
Course structure
The Electronics & Embedded Systems Course is designed as a three years degree course which will focus on laboratory practical sessions while covering undergraduate level Physics and Mathematics. The students are required to take course units in Electronics & Embedded Systems with a minimum cumulative credit value of 27.0 during the three years. The course units comprise of ‘compulsory’, ‘core’, non-core’, ‘optional’ subjects so that the students are provided with the Electronics & Embedded Systems stream while allowing some level of flexibility to pursue optional interest.
| Course Type | -a- compulsory | -c- core | -n- optional for those not doing Electronics & Embedded Systems |
| -o- optional for those doing Electronics & Embedded Systems | -s- optional for all students in the faculty |
B.Sc. (General) Degree Course Units-Electronics & Embedded Systems
(2022/2023 AS2022)
| FIRST YEAR | ||
| Semester I | ||
| EES 111 2.0 | Fundamentals of C Programming | c |
| EES 123 1.0 | Seminar | c |
| EES 118 1.0 | Electronics and Embedded Systems Lab | a |
| Semester II | ||
| EES 121 2.0 | Embedded Linux Systems | c |
| EES 106 1.0 | Electrical Machines | c |
| EES 112 2.0 | Probability and Statistics (based on STA 349 2.0 Introduction to Statistics) | c |
| EES 128 1.0 | Circuit Simulations and Design Lab | a |
| SECOND YEAR | ||
| Semester I | ||
| EES 201 1.0 | Sensors and Actuators | c |
| EES 209 1.0 | Computer Integrated Control Systems | c |
| EES 213 2.0 | Statistical Methods (AS2021 onwards instead of EES 211 2.0) | c |
| EES 212 1.0 | Embedded Systems Mini Challenge | a |
| Semester II | ||
| EES 206 2.0 | Advanced Analog and Digital Electronics | c |
| EES 207 2.0 | Data Acquisition and Signal Processing | c |
| EES 208 1.0 | Data Acquisition and Signal Processing Lab | a |
| THIRD YEAR | ||
| Semester I | ||
| EES 313 2.0 | Microprocessors and Microcontrollers | c |
| EES 302 1.0 | Circuit Fault Diagnostics | a |
| EES 303 1.0 | Embedded Systems Development Lab | c |
| Semester II | ||
| EES 304 2.0 | Introduction to Internet of Things and Robotics | c |
| EES 305 1.0 | Internet of Things and Robotics Lab | a |
| c | ||
| Optional Courses | ||
| EES 308 1.0 | Introduction to Programmable Logic Controllers | |
| EES 311 1.0 | Mobile Application Development | |
| EES 314 2.0 | Project (Sem 1 & 2) | |
| EES 315 1.0 | Embedded Database Systems | |
| EES 316 1.0 | Introduction to Machine Learning | |
| EES 317 1.0 | Hackathon on Embedded Systems | |
B.Sc. (General) Degree Course Units-Electronics & Embedded Systems
New Syllabus (2019/2020 )
| FIRST YEAR | ||
| Semester I | ||
| EES 111 2.0 | Fundamentals of C Programming | c |
| EES 112 2.0 | Probability and Statistics | c |
| EES 118 1.0 | Electronics and Embedded Systems Lab | a |
| Semester II | ||
| EES 121 2.0 | Embedded Linux Systems | c |
| EES 106 1.0 | Electrical Machines | c |
| EES 123 1.0 | Seminar | c |
| EES 128 1.0 | Circuit Simulations and Design Lab | a |
| SECOND YEAR | ||
| Semester I | ||
| EES 201 1.0 | Sensors and Actuators | c |
| EES 209 1.0 | Computer Integrated Control Systems | c |
| EES 211 2.0 | Data Analysis and Modeling | c |
| EES 212 1.0 | Embedded Systems Mini Challenge | a |
| Semester II | ||
| EES 206 2.0 | Advanced Analog and Digital Electronics | c |
| EES 207 2.0 | Data Acquisition and Signal Processing | c |
| EES 208 1.0 | Data Acquisition and Signal Processing Lab | a |
| THIRD YEAR | ||
| Semester I | ||
| EES 313 2.0 | Microprocessors and Microcontrollers | c |
| EES 302 1.0 | Circuit Fault Diagnostics | a |
| EES 303 1.0 | Embedded Systems Development Lab | c |
| Semester II | ||
| EES 304 2.0 | Introduction to Internet of Things and Robotics | c |
| EES 305 1.0 | Internet of Things and Robotics Lab | a |
| c | ||
| Optional Courses | ||
| EES 308 1.0 | Introduction to Programmable Logic Controllers | |
| EES 311 1.0 | Mobile Application Development | |
| EES 314 2.0 | Project (Sem 1 & 2) | |
| EES 315 1.0 | Embedded Database Systems | |
| EES 316 1.0 | Introduction to Machine Learning | |
| EES 317 1.0 | Hackathon on Embedded Systems | |
Note: Those who are doing Electronics and Embedded Systems as a subject must take PHY 311 1.0 Introduction to Computer Hardware course instead of PHY 309 1.0 Introduction to Microprocessors.
Please click here to read more about course contents.
B.Sc. Honours Degree in Applied Sciences
(EES – extended at the 4th Year)
ASP 481 2.0 System on Chip
ASP 482 2.0 Embedded Machine Learning
ASP 483 2.0 Advanced Programmable Logic Controllers
ASP 484 2.0 Image Processing and Embedded Computer Vision
General Courses
Semester l
ASC 401 2.0 Quality Assurance and Standards
ASC 402 2.0 Waste Management and Cleaner Production
ASC 403 2.0 Entrepreneurship and Small Business Management
ASC 404 1.0 Industrial Law and Intellectual Property
ASC 407 2.0 Scientific Education and Teaching Methodology
Semester l l
ASC 406 1.0 Seminar/Workshop
ASC 405 2.0 Research Methodology, Scientific Writing and Business English
ASC 408 10.0 Industrial based Project
Selection criteria
At the end of the third year, students who are interested in the degree program are required to state their preferences with respect to the field of study in the application form. Additionally, applicants should have passed the compulsory English course unit examinations conducted by the Faculty during the first three semesters are earned passing at for compulsory English. The students will be selected for the relevant fields solely by their GPA calculated with course units offered in five semesters of the general degree (until third year first semester) and the availability of resources in the respective field as decided by the PMC Students who wish to be selected for the programme are required to maintain satisfactory attendance for Courses officered by certain Departments
For further information please contact Mr. C. H. Mannatunga, Course Coordinator, Department of Physics.
Old Syllabus (2017/2018, 2018/2019)
| FIRST YEAR | ||
| Semester I | ||
| EES 101 2.0 | Micro-Electronics and Devices | c |
| EES 102 2.0 | Fundamental C programming Techniques | c |
| EES 103 1.0 | Probability and Statistics | c |
| Semester II | ||
| EES 104 2.0 | Python Programming for Embedded Systems | c |
| EES 105 1.0 | Device Fabrication Technology | c |
| EES 106 1.0 | Electrical Machines | c |
| EES 107 1.0 | Communication Skills and Report Writing | c |
| SECOND YEAR | ||
| Semester I | ||
| EES 201 1.0 | Sensors and Actuators | c |
| EES 202 1.0 | Data Communication Techniques | c |
| EES 203 1.0 | Electrical Power Systems | c |
| EES 204 1.0 | Data Analysis and Modeling | c |
| EES 205 1.0 | Object Oriented Programming for Embedded Systems | c |
| Semester II | ||
| EES 206 2.0 | Advanced Analog and Digital Electronics | c |
| EES 207 2.0 | Data Acquisition and Signal Processing | c |
| EES 208 1.0 | Data Acquisition and Signal Processing Lab | a |
| THIRD YEAR | ||
| Semester I | ||
| EES 301 2.0 | Microprocessors and Computer Interfacing | c |
| EES 302 1.0 | Circuit Fault Diagnostics | c |
| EES 303 1.0 | Embedded Systems Development Lab | a |
| Semester II | ||
| EES 304 2.0 | Introduction to Internet of Things and Robotics | c |
| EES 305 1.0 | Internet of Things and Robotics Lab | a |
| Optional Courses | ||
| EES 306 1.0 | Introduction to Instrumentation and Measurements | |
| EES 307 1.0 | Embedded Systems Group Project | |
| EES 308 1.0 | Introduction to Programmable Logic Controllers | |
| EES 309 1.0 | Wireless Ad-Hoc and Sensor Networks | |
| EES 310 1.0 | Introduction to Digital image processing | |
| EES 311 1.0 | Mobile Application Development | |
| EES 312 1.0 | Google Applications | |
Note: Those who are doing Electronics and Embedded Systems as a subject must take PHY 311 1.0 Introduction to Computer Hardware course instead of PHY 309 1.0 Introduction to Microprocessors.
For further information please contact Mr. C. H. Mannatunga, Course Coordinator, Department of Physics.
