CMKL University

PROGRAM

B.Eng. in AiCE Degree Requirements

Overview

AiCE students must satisfy multiple requirements before the Bachelor of Engineering degree is certified.

  1. They must earn a minimum of 360 credit units in total. (The maximum allowed is 400.)
  2. The credits they earn must satisfy distribution limits. Specifically, they must earn at least 62 unitsof arts, humanities, social science and communication electives; 90 units of math/science; 136 unitsof core technical fundamentals; 38 units of undergraduate research and development outside of XP; and 30 units of experiential learning (XP) including a 12 credit capstone project.
  3. They must complete all required competencies.
  4. They must receive an average grade of at least C for soft skills across their first four semesters.All requirements are expressed via the AiCE competency scheme. Some competencies are required,meaning that every AiCE student must demonstrate this competency in order to graduate. Others areoptional. In some cases, optional competencies form a set from which the student is required to select asubset to complete.

Because of the individualized nature of the AiCE program, the pattern of study for each student willbe different. Furthermore, students who receive credit upon entry to the program because of advancedplacement courses or other prior experience will experience a different learning path than students withoutthese pre-existing skills.

The section below entitled AiCE Competencies presents the full set of currently defined competenciesand the amount of credit associated with each one, with an indication of whether the competency is required in order to graduate. We expect that this information will change somewhat over time as wedevelop new academic specialties and adapt to new technology developments

Undergraduate Research and Development

The AiCE program is designed to provide students with opportunities to solve real world problems in collaboration with external stakeholders from industry, government and/or non-governmental organizations, both domestically and overseas. Starting in their first semester, students will devote at least 7-9 hours per week working on projects in three tracks:

  • Entrepreneurship and Innovation;
  • AI for Society; and
  • Experiential Learning Program (XP)

We call this project work “Undergraduate R&D”, though depending on the project, the work may tend more toward research or more toward development. The students are expected to participate for at least two semesters (18 credits) in each track. AiCE students must complete all three tracks to satisfy their graduation requirement. Expected output from the completion of each of these project tracks is comparable to completing a capstone design project. Hence AiCE graduates will have significantly more real-world research and development experience than students who earn bachelor’s degrees from most other computer engineering programs.

The projects will be designed by the organizational stakeholders in collaboration with CMKL University faculty; however, students will be encouraged to provide input and suggestions. If they have some original ideas they would like to pursue, students can also propose their own project topics to potential stakeholder organizations.

Once the scope and high-level problem for a project has been defined, the CMKL faculty will map the project to a set of associated competencies, based on the knowledge and skills that the project requires. These competencies may be either required or optional competencies. Thus, project work may overlap with more traditional study activities in satisfying the graduation requirements.
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Credit for undergraduate R&D work will depend on the underlying competencies. Even if a project specifies a competency that the student has already demonstrated via more traditional study activities, the student can receive additional credit for this competency. This recognizes the fact that the level of mastery required by a real-world project will usually be higher than necessary to pass the initial competency assessment.
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Each research project will be mapped to a set of associated competencies (typically three or four), based on the knowledge and skills the project requires. For first year projects, these will be required, core competencies such as Introduction to Programming, Supervised and Unsupervised Learning, etc.

Advisors will assess students on their overall performance in the project, considering effort, productivity, time management, teamwork, communication, and similar professional skills. In addition, project team members will receive scores for each of the associated competencies. This score will reflect the students’ ability to successfully integrate the knowledge and skills from the competency into the project work and will be independent of the project-level assessment.

Experiential Learning Program (XP)

The Experiential Learning Program (XP) is a core feature of the AiCE program. It is designed to foster students’ personal and professional growth through learning activities conducted outside the classroom. By engaging with stakeholders outside the university and applying their knowledge and creativity to real-world research and application problems, students have the opportunity to develop advanced skills while enhancing their credentials for future employment.

XP is open to AiCE students who have successfully completed their sophomore year and have earned a minimum of 180 competency credits.

The program encompasses the period from the summer of sophomore year through the spring of senior year. Upon successful completion, students can earn 9-18 XP credits for each fall or spring semester and 9 of XP credits for each summer. Every AiCE student must earn at least 18 XP credits in order to graduate.

Students involved in XP will engage in various activities as described below. A student can do all activities, during different semesters.

  1. International Study/Research: Students have the opportunity to study or work on research at overseas educational or research institutions. These experiences provide hands-on learning, cultural immersion, and global networking opportunities. To be eligible for an international placement, students must maintain a minimum 3.0 GPA. Non-native English speakers may need to meet language proficiency requirements specified by host universities. Students are responsible for covering expenses such as accommodation, meals, travel, and incidentals.
  2. Industrial Internship Program: Our robust industrial internship program offers students a unique opportunity to gain invaluable real-world experience and forge crucial industry connections. Engaging in intensive internships with our esteemed industrial partners including top tech corporations, students acquire practical insights and hands-on skills essential for their professional development. During their participation in this program, students are expected to cover expenses such as accommodation, meals, travel, and incidentals.
  3. Collaborative AI Tech R&D: The Collaborative AI Tech R&D program allows undergraduate students to engage in cutting-edge research on artificial intelligence-related topics. Through partnerships with the AI Engineering Institute and international collaborators, students gain practical skills and research experience. Opportunities may include co-authoring publications or patents.

All of these activities are expected to complement formal coursework and to provide students with valuable experiences to enhance their academic and professional development.


AiCE Competencies
The AiCE competencies are organized according to knowledge pillars. Each pillar represents a broad set of topics and concerns. There are six core pillars in the program: Software Engineering,  Artificial Intelligence, Human-Centered Design, Cybersecurity, Scalable Systems and Entrepreneurship and Innovation. In many cases these major categories are divided into subcategories called knowledge subdomains.

In addition to these central pillars, we also incorporate science, mathematics, humanities, and other competencies, which would normally be viewed as external electives or general education, into our scheme. Additional competencies may be available through AIEI university network and student can request for competency credit transfer through AIEI system.

The tables below list the currently defined competencies for each pillar. We expect to define additional competencies in the future.

Pillar:

Artificial Intelligence

Total credits:

94

; Required:

14

(choose 1 AI Applications)

Subdomain

Code

Competency

Credits

Required?

AI Paradigms
AIC-100
Introduction to AI Engineering
2
No
AIC-101
Introduction to Artificial Intelligence
2
Yes
AIC-301
Symbolic AI
4
No
AIC-302
Probability-based Models
4
No
AIC-303
Planning and Search Strategies
4
Yes
AIC-305
Bio-inspired AI
4
No
Machine Learning (ML)
AIC-201
Supervised Learning and Unsupervised Learning
4
Yes
AIC-304
Neural Networks and Deep Learning
4
Yes
AIC-402
Proximity Measurement and Cluster Analysis
4
No
AIC-403
Classification and Regression
4
No
AIC-502
Reinforcement Learning
4
No
AIC-503
Transformer Networks
4
No
AIC-505
Generative AI
4
No
AIC-506
Large Language Models
4
No
AIC-507
Graph-Based Machine Learning
4
No
Data Handling, Analysis and Mining
AIC-400
Data Wrangling
2
No
AIC-401
Information Retrieval, Extraction, Search and Indexing
4
No
AI Applications
AIC-504
Simulation
4
No
AIC-601
Recommender System
4
No
AIC-602
Natural Language Processing (NLP)
4
No
AIC-603
Autonomous Agents
4
No
AIC-604
Computer Vision
4
No
AIC-605
Geographic Computing
4
No
AIC-606
Medical AI and Applications
4
No
AIC-607
Brain-Computer Interface
4
No

† AI Applications: At least 1 of these competencies must be completed.

Pillar:

Communications and Presentation

Total credits:

60

; Required:

10

Subdomain

Code

Competency

Credits

Required?

Communication and Presentation
COM-100
Writing Foundations
2
Yes
COM-101
Technical Writing
4
No
COM-102
Creative Writing
8
No
COM-103
Graphics and Visual Storytelling
8
No
COM-104
Fundraising & Pitching
4
No
COM-105
Presentation and Storytelling
8
Yes
COM-108
Academic Writing & Research
8
No
COM-109
Communicating with Data
4
No
COM-111
Fundamental Thai Language
4
No
COM-201
Improvisational Acting
6
No
COM-202
Instructional Design
4
No

Pillar:

Entrepreneurship and Innovation

Total credits:

108

; Required:

8

(choose 1 Business Application Domains)

Subdomain

Code

Competency

Credits

Required?

Entrepreneurship Fundamentals
ENI-100
New Venture Design
8
Yes
ENI-103
Product Design and Development
2
No
ENI-104
Intellectual Property (IP) Law
2
No
ENI-106
Team Building for Startups
2
No
ENI-107
Entrepreneurial Finance and Accounting
4
No
ENI-109
Project Management
4
No
ENI-110
Startup Regulations
2
No
Strategic Innovation
ENI-202
Business Strategy
4
No
ENI-204
Business Analytics
4
No
ENI-213
Digital Marketing
4
No
ENI-214
Business Analysis
4
No
ENI-304
AI for Business Solutions
4
No
Startup Genesis
ENI-601
Startup Studio: Venture Creation
16
No
ENI-602
Startup Studio: Venture Launch
16
No
Business Application Domains
ENI-401
Retail and Services Applications
4
No
ENI-402
Logistics
4
No
ENI-403
Biomedical, Bioinformatics and Health
4
No
ENI-404
Agriculture
4
No
ENI-405
Fintech
4
No
ENI-406
Educational Technology
4
No
ENI-407
Gaming
4
No
ENI-408
Manufacturing
4
No

† Business Application Domains: At least 1 of these competencies must be completed.

Pillar:

Arts, Humanities and Social Sciences

Total credits:

93

; Required:

0

Subdomain

Code

Competency

Credits

Required?

People, Places and Cultures
HAS-101
Sociology and Cultural Anthropology
9
No
HAS-102
Social Psychology
9
No
HAS-103
Political Studies
9
No
HAS-104
Human Geography
9
No
HAS-105
Global Histories
9
No
HAS-109
Ethics and Policy Issues
2
No
HAS-110
Policy & Sustainable Development
6
No
HAS-113
AI and Computer Engineering for Community Impact I
4
No
HAS-123
AI and Computer Engineering for Community Impact II
4
No
HAS-133
AI and Computer Engineering for Community Impact III
4
No
HAS-143
AI and Computer Engineering for Community Impact IIII
4
No
Economics
HAS-107
Principles of Economics
8
No
HAS-108
Behavioral Economics
8
No
Arts and Music
HAS-106
History of Visual Arts
8
No

Pillar:

Human-Centered Design

Total credits:

160

; Required:

8

Subdomain

Code

Competency

Credits

Required?

Game Design
HCD-532
Game Design
6
No
HCD-533
Narrative Design
6
No
HCD-534
Sound Design
6
No
Engaging in Critical Oversight
HCD-201
Ethics in computer engineering
2
Yes
HCD-202
Ethical Principles for AI (Fairness, Accountability, Transparency, Ethics)
4
No
HCD-203
Creating Explainable AI
4
No
Game Engineering
HCD-541
Game Engines I (Fundamentals)
6
No
HCD-542
Game Engines II (Programing Complex Mechanics)
6
No
HCD-543
Crowd AI (Simulating Group Behavior in Games)
6
No
HCD-544
Character AI (Designing Believable Game Agents)
6
No
Digital Media & 3D Content
HCD-311
Digital Arts
2
No
HCD-312
Algorithmic and Generative Arts
4
No
HCD-513
Visual Development (Concept Art and Production Design)
6
No
HCD-514
Visual Storytelling (Storyboarding and Animatics)
6
No
HCD-521
3D Modeling
6
No
HCD-522
3D Appearance (Surfacing, Lighting, and Rendering)
6
No
HCD-523
3D Animation (Rigging and Animating)
6
No
HCD-524
Motion Capture
6
No
HCD-525
Digital Post-Production
6
No
HCD-526
Visual Effects (VFX)
6
No
Human-Computer Interaction (HCI)
HCD-101
Visualization
4
Yes
HCD-501
Accessibility & Universal Design
2
Yes
HCD-502
User Experience Design
6
No
HCD-503
Psychology and Research Methods in UX
6
No
HCD-545
Virtual Reality (VR)
6
No
HCD-546
Augmented Reality (AR) and Mixed Reality (MR)
6
No
Creative Studio
HCD-390
Creative Ideation & Rapid Prototyping
4
No
HCD-490
Game Prototype Studio (From Concept to Playable Demo)
4
No
HCD-491
Game Production Studio I (Polishing Your Game Project)
8
No
HCD-492
Game Production Studio II (Release Ready Game)
8
No

Pillar:

Mathematics

Total credits:

88

; Required:

48

Subdomain

Code

Competency

Credits

Required?

Mathematics for AI
MAT-202
Signal Processing and Data Domains
4
No
MAT-203
Descriptive Statistics
2
Yes
MAT-204
Introduction to Probability
3
Yes
MAT-205
Probability Distributions
3
Yes
MAT-206
Statistical Inference
4
Yes
MAT-208
Vector Spaces
4
Yes
MAT-209
Matrices
4
Yes
MAT-210
Linear Systems
4
Yes
MAT-211
Logic and Sets Theory (Discrete Math 1)
3
Yes
MAT-212
Combinatorics (Discrete Math 2)
3
Yes
MAT-213
Number Theory (Discrete Math 3)
3
Yes
MAT-214
Graph Theory (Discrete Math 4)
3
Yes
Calculus
MAT-100
Differential Calculus
4
Yes
MAT-103
Integral Calculus
4
Yes
MAT-104
Introduction to Optimization
4
Yes
MAT-105
Vector Calculus
6
No
MAT-106
Analytical Geometry
6
No
MAT-108
First-Order Differential Equations
4
No
MAT-109
Higher-Order Differential Equations
5
No
MAT-110
Numerical Methods for Differential Equations
3
No
MAT-501
First-Order Differential Equations
6
No
MAT-502
Higher-Order Differential Equations
6
No

Pillar:

Science

Total credits:

60

; Required:

0

Subdomain

Code

Competency

Credits

Required?

Science
SCI-103
Quantum Mechanics
6
No
SCI-104
Quantum Computing
6
No
SCI-105
Kinematics: describe motion (Physics I)
3
No
SCI-106
Dynamics: explain motion (Physics I)
3
No
SCI-107
Energy and Momentum (Physics I)
3
No
SCI-108
Thermodynamics (Physics I)
3
No
SCI-109
Electricity (Physics II)
4
No
SCI-110
Magnetism (Physics II)
4
No
SCI-111
Light and Optics (Physics II)
4
No
SCI-120
Biology for AI and Engineering
6
No
SCI-121
Medical Science for AI Engineering
6
No
SCI-130
Chemical Foundations
6
No
SCI-131
Chemical Dynamics
6
No

Pillar:

Cybersecurity

Total credits:

50

; Required:

8

Subdomain

Code

Competency

Credits

Required?

Data Acquisition, Management, and Governance
SEC-101
Data and Information Fundamentals
2
Yes
SEC-102
Data Reduction and Compression
4
No
SEC-103
Data Governance
2
No
Privacy, Security and Integrity
SEC-201
Data Privacy, Security and Integrity
4
Yes
SEC-202
Secure Startup
4
No
SEC-203
Securing System Infrastructure
4
No
SEC-204
Security Policy and Processes
4
No
SEC-205
Distributed ledger and Blockchain
4
No
SEC-206
Practical Cryptography for Secure Applications
4
No
SEC-303
Vulnerability Assessment for Software Applications
4
No
SEC-401
Privacy Attacks
2
No
SEC-402
Differential Privacy (DP)
6
No
AI System Security
SEC-301
Security Challenges in Modern AI Systems
2
Yes
SEC-302
Robustness of AI Components and Systems
4
No

Pillar:

Software Engineering

Total credits:

102

; Required:

22

Subdomain

Code

Competency

Credits

Required?

Programming Fundamentals
SEN-101
Algorithmic Thinking & Problem Solving
2
Yes
SEN-102
Introduction to Programming
6
Yes
SEN-103
Programming Multi-module Applications
4
No
SEN-107
Fundamental Data Structures and Algorithms
6
Yes
SEN-109
Modern Systems Programming
2
Yes
SEN-208
Advanced Data Structures and Algorithms
6
No
SEN-209
Designing and Implementing Databases
6
No
Programming Paradigms
SEN-304
Object Oriented Design and Programming
6
No
SEN-305
Functional Programming
4
No
SEN-306
Dataflow Programming
4
No
SEN-307
Domain-specific programming languages
2
No
Software Development and Maintenance (SDM)
SEN-201
Software Engineering Processes
6
Yes
SEN-202
Software Quality Assurance
6
No
SEN-203
Software Design
4
No
SEN-205
Requirements Analysis and Problem Definition
2
No
SEN-210
Designing and Implementing User Interfaces
4
No
SEN-212
Software Configuration Management
2
No
SEN-213
Software Measurement
2
No
SEN-214
Software Maintenance and Evolution
2
No
SEN-301
Designing and Building Secure Software
4
No
SEN-302
Designing and Building Mission Critical Software
2
No
Software Engineering Leadership
SEN-401
Agile Development Processes (including DevOps)
2
No
SEN-402
Software Project Management
4
No
SEN-403
Software Organization Maturity and Continuous Improvement
2
No
SEN-404
Legacy Software Strategies
2
No
SEN-405
Open Source Software
2
No
Platform Specific Architectures
SEN-311
Web Architectures
4
No
SEN-312
Mobile Application Architectures
4
No

Pillar:

Soft Skills

Total credits:

0

; Required:

0

Subdomain

Code

Competency

Credits

Required?

Soft Skills
SOF-110
Soft Skills Year 1 Semester 1
0
Yes
SOF-120
Soft Skills Year 1 Semester 2
0
Yes

Pillar:

Scalable Systems

Total credits:

54

; Required:

12

Subdomain

Code

Competency

Credits

Required?

Computer Organization
SYS-101
Operating Systems
4
Yes
SYS-102
Basic Computer Architecture
4
Yes
SYS-202
Real Time Operating Systems
4
No
SYS-205
Storage and File Systems Fundamentals
2
No
SYS-206
Computer Design Processor Architectures and Digital Design
4
No
SYS-207
Networks
4
No
SYS-208
Digital and Analog Circuit Design
4
Yes
Distributed Systems
SYS-301
Cyber Physical Systems
4
No
SYS-302
Cloud Computing
4
No
SYS-303
Scalable Management of Data and Models
4
No
SYS-304
Scalable Algorithms and Infrastructure
4
No
SYS-401
Parallel Computing
4
No
SYS-402
Distributed Data Storage
4
No
SYS-403
Big Data Computing
4
No

Pillar:

URD Undergraduate Research, Development and Practice

Total credits:

170

; Required:

50

(choose 2 XP Options)

Subdomain

Code

Competency

Credits

Required?

Entrepreneurship and Innovation
URD-100
Time Management
2
Yes
URD-101
Undergraduate R&D Project (1)
9
Yes
URD-102
Undergraduate R&D Project (2)
9
Yes
Senior Research & Development
URD-401
Honors Undergraduate Research Thesis (1)
12
No
URD-402
Honors Undergraduate Research Thesis (2)
12
No
URD-411
Undergraduate Capstone Project (1)
12
Yes
URD-412
Undergraduate Capstone Project (2)
12
No
AI and Computer Engineering for Society
URD-201
Undergraduate R&D project (3)
9
Yes
URD-202
Undergraduate R&D Project (4)
9
Yes
Experiential Learning (XP)
URD-301
Undergraduate R&D Project (5)
9
No
URD-302
Undergraduate R&D Project (6)
9
No
URD-311
Overseas Colleges (1)
9
No
URD-312
Overseas Colleges (2)
9
No
URD-321
Industrial Internship (1)
9
No
URD-322
Industrial Internship (2)
9
No
URD-391
Creative Studio (1): Product Development
9
No
URD-392
Creative Studio (2): Launch and Growth
9
No
Summer Research
URD-103
Summer Research (1)
4
No
URD-203
Summer Research (2)
4
No
URD-303
Summer Research (3)
4
No

† XP Options: At least 2 of these competencies must be completed.

Three-year Accelerated Study Plan

AP/ IB / A-Level Credit Awarding Guidelines

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Integrated Master and Bachelor Degree Program (IMB)

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Questions?

If you have any questions, do not hesitate to contact us.

By Email
[email protected]
by Phone
+66 65 878 5000
By inquiry form
General program inquiry form