TEPE

Electrical and Data Engineering

Electrical and Data Engineering programme at TEP-TEPE Thammasat School of Engineering provides students with a comprehensive education in both electrical engineering and the cutting-edge field of data engineering. The curriculum covers a wide range of topics, including circuit analysis, digital systems, Microprocessor, data analytics, and machine learning.

One of the unique features of the programme is its emphasis on data engineering, which is becoming increasingly important in today's digital world. Students will gain an in-depth understanding of data science, data mining, machine learning, and big data analytics and will have opportunities to work on projects and conduct research in these areas, giving them hands-on experience and a competitive edge in the job market.

The programme also allows students to specialise in a particular area of electrical and data engineering through elective courses, such as IoT technology, cloud computing, and mobile application development. The programme also places a strong emphasis on technology entrepreneurship, equipping students with the skills they need to succeed as entrepreneurs.

The faculty members at TEP-TEPE are highly qualified and experienced, committed to providing students with comprehensive education, hands-on experience, and modern facilities and equipment. A laboratory is also available for learning electrical engineering, data engineering, and other subjects.

The Electrical and Data Engineering programme at TEP-TEPE offers students a wide range of career options in electrical engineering, data engineering, and computer engineering. Additionally, the programme provides students with a solid foundation in the field, enabling them to pursue graduate studies in electrical engineering, data engineering, or computer engineering if desired.

Selected subjects in this course:

Microprocessor Systems Design
Analog and Digital Communications
Computer Architecture and Operating System
Data Science for Signal Processing
Electrical Instruments, Electrical measurements and Sensors
Data Communication and Networks
Database Systems
Machine Learning
Computer Application Developments
Machine Vision and Application in Industry
Cloud Computing and Application Development
IOT System Design in Industry
Technology Entrepreneurship
Project Management for Engineer
Design Entrepreneurship

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Study Plan

The curriculum is wating for approval from university council. The study plan may be slightly changed from here.

YEAR 1

Semester 1

TSE100 Ethics for Engineers 0 (0-0-0)

MA111 Fundamentals of Calculus 3 (3-0-6)

ME100 Engineering Graphics 3 (2-3-4)

SC133 Physics for Engineers I 3 (3-0-6)

LAS101 Critical Thinking, Reading and Writing 3 (3-0-3)

IE121 Engineering Materials 3 (3-0-6)

TU143 Man and Environment 3 (3-0-6)

EL105 English Communication Skills 3 (3-0-6)

Semester 2

MA112 Analytic Geometry and Applied Calculus 3 (3-0-6)

SC134 Physics for Engineers II 3 (3-0-6)

SC185 General Physics Laboratory 1 (0-3-0)

SC123 Fundamental Chemistry 3 (3-0-6)

SC173 Fundamental Chemistry Laboratory 1 (0-3-0)

CE202 Engineering Mechanics – Statics 3 (3-0-6)

TSE101 Introduction to Modern Information Technologies 1 (1-0-2)

CN101 Introduction to Computer Programming 3 (3-0-6)

EL295 Academic English and Study Skills 3 (3-0-6)

YEAR 2

Semester 1

LE242 Digital Circuit Design 3 (3-0-6)

EI211 Computational Engineering 1 (0-3-6)

SF211 Object-oriented programming 3 (3-0-6)

LE240 Electric Circuit Analysis 3 (3-0-6)

CN200 Discrete Mathematics 3 (3-0-6)

MA214 Differential Equations 3 (3-0-6)

CIS106 Leadership and Influence 3 (3-0-6)

TSE200 Applied Mathematics in Solution of Engineering Problems 3 (3-0-6)

Semester 2

LE203 Introduction to Electrical Engineering Laboratory 1 (0-3-1)

LE210 Signals and Systems 3 (3-0-6)

LE211 Probability Theory and Stochastic Processes 3 (3-0-6)

LE220 Electromagnetic Theory 3 (3-0-6)

LE241 Basic Electronic Circuits and Devices 3 (3-0-6)

CN361 Microprocessor Systems Design 3 (3-0-6)

TU100 Civic Engagement 3 (3-0-6)

YEAR 3

Semester 1

LE326 Analog and Digital Communications 3 (3-0-6)

CN391 Computer Architecture and Operating System 3 (3-0-6)

CN240 Data Science for Signal Processing 3 (3-0-6)

SF231 Data Structures and Algorithms 3 (3-0-6)

EI310 Electrical Instruments, Electrical measurements and Sensors 3 (3-0-6)

LE314 Digital Signal Processing 3 (3-0-6)

Semester 2

LE324 Data Communication and Networks 3 (3-0-6)

CN230 Database Systems 3 (3-0-6)

CN340 Machine Learning 3 (3-0-6)

CN330 Computer Application Developments 3 (3-0-6)

EI412 Machine Vision and Application in Industry 3 (3-0-6)

CN392 Cloud Computing and Application Development 3 (3-0-6)

Summer

TSE300 Electrical and Data Engineering Training 1

YEAR 4

Semester 1

EI446 IoT System Design in Industry 3 (3-0-6)

TSE401 Electrical Engineering Project I (Option Track 1) 1 (0-3-0)

IE406 Engineering Management 3 (3-0-6)

DE321 Technology Entrepreneurship 3 (3-0-6)

AP168 Design Entrepreneurship 3 (3-0-6)

DE101 Financial planning for economic stability in life 3 (3-0-6)

XXXXX Free Electives 3 (3-0-6)

Semester 2

Track 1 : Research Track

TSE402 Electrical and Data Engineering 2 (0-6-0)

TSE411 Special Topic in Engineering I 3 (3-0-6)

TSE412 Special Topic in Engineering II 3 (3-0-6)

OR

Track 2 : Exchange

TSE411 Special Topic in Engineering I 3 (3-0-6)

TSE412 Special Topic in Engineering II 3 (3-0-6)

TSE413 Special Topic in Engineering III 3 (3-0-6)

OR

Track 3 : Long – Term Internship

TSE421 Long – Term Internship in Electrical and Data Engineering 9 (at least 480 hours)

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