AiCE students must satisfy multiple requirements before the Bachelor of Engineering degree is certified. The AiCE undergraduate curriculum requires at least 360 credit units. This includes 66 units of arts, humanities, social science and communication electives, 90 units of math/science, 132 units of core technical fundamentals, and 54 units of undergraduate research and development.
The maximum number of credits a student can earn is 400.
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 are optional. In some cases, optional competencies form a set from which the student is required to select a subset to complete.
Because of the individualized nature of theAiCE program, the pattern of study for each student will be different. Furthermore, students who receive credit upon entry to the program for advanced placement or other prior experience will experience a different learning path than students without these pre-existing skills.
The section below entitled Core Competencies presents the full set of currently defined competencies and the amount of credit associated with each one, with an indication of whether the competency is required in order to graduate. We expect that these lists will change some what as the AiCE program becomes more established.
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:
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.
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.
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.
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.
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: Software Engineering
Total credits: 102; Required credits: 22 (12 of required competencies under Programming Fundamentals subdomain)
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-208
Advanced Data Structures and Algoritms
4
Yes
SEN-209
Designing and Implementing Data Bases
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
4
No
SEN-203
Software Design
4
No
SEN-205
Requirements Analysis and Problem Definition
4
No
SEN-212
Software Configuration Management
2
No
SEN-213
Software Measurement
4
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
4
No
Software Engineering Leadership
SEN-401
Agile Development Processes (including DevOps)
4
No
SEN-402
Software Project Management
4
No
SEN-403
Software Organization Maturity and Continuous Improvement
4
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: Artificial Intelligence
Total credits: 60; Required: 8
Subdomain
Code
Competency
Credits
Required?
Artificial Intelligence
AIC-301
Symbolic AI
4
No
AIC-302
Probability-based Models
4
No
AIC-303
Planning and SearchStrategies
4
No
AIC-304
Neural Network and Deep Learning
4
Yes
Data Mining
AIC-401
Information Retrieval and Extraction | Search and Indexing
4
No
AIC-402
Proximity Measurement and Cluster Analysis
4
No
AIC-403
Classification and Regression
4
No
Machine Learning
AIC-501
Supervised Learning and Unsupervised Learning
4
Yes
AIC-502
Reinforcement Learning
4
No
AIC-503
Transformer Network
4
No
AI Applications *
AIC-601
Recommender System
4
AIC-602
Natural Language Processing (NLP)
4
AIC-603
Autonomous Agents
4
AIC-604
Computer Vision
4
AIC-605
Geographic Computing
4
*Students must complete at least one AI Application competency. This may be in the context of undergraduate R&D.
Pillar: Human-Centered Design
Total credits: 126; Required credits: 8
Subdomain
Code
Competency
Credits
Required?
Analysis and Presentation
HCD-101
Visualization
4
No
HCD-103
Creating Explainable AI
4
No
HCD-104
Immersive Environment (AR/VR/MR/XR)
6
No
Engaging in Critical Oversight
HCD-201
Ethics in Computer Engineering
2
Yes
HCD-202
*Ethical Principles forAI (Fairness, Accountability, Transparency, Ethics)
4
No
Game Engineering
HCD-301
Game Engine Tech: Foundations
12
No
HCD-302
Engineered Arts: Foundations
12
No
HCD-303
Engineered Arts: AI for Gaming
6
No
Game Design
HCD-401
Game Development: Foundations
6
No
HCD-402
Game Design: Foundations
6
No
HCD-403
*Narrative Design: Foundations
6
No
HCD-404
Game Engine & Project Prototyping - Applied
6
No
HCD-405
Sound Design: Foundations
4
No
HCD-406
Virtual Production: Foundations
6
No
HCD-407
Visual & Motion Design: Foundations
12
No
HCD-408
VR & AR Gaming
4
No
UX Design
HCD-501
*Accessibility & Universal Design
4
Yes
HCD-502
Interaction Design & Experience Design
10
No
HCD-503
User Research: Methodologies, Data, and Design Thinking
4
No
HCD-504
*Psychology for UserInterface Design
4
No
HCD-505
*User Interface Development & Evaluation
6
No
*Competencies can be counted toward communication, humanities and social science distribution requirements.
Pillar: Cybersecurity
Total credits: 48; Required: 8
Subdomain
Code
Competency
Credits
Required?
Data Acquisition, Management and Governance
SEC-101
Data Acquisition, Preparation, Transformation and Cleaning
4
No
SEC-102
Data Reduction and Compression
4
No
SEC-103
Data Governance
2
No
Privacy, Security and Integrity
SEC-201
Data Privacy, Security & Integrity
4
Yes
SEC-203
Securing System Infrastructure
6
No
SEC-204
Security Policy and Processes
4
No
SEC-205
Distributed ledger and Blockchain
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
4
Yes
SEC-302
Robustness of AI Components and Systems
4
No
Pillar: Scalable Systems
Total credits: 54; Required: 8
Subdomain
Code
Competency
Credits
Required?
Computer Organization
SYS-101
Operating Systems
4
Yes
SYS-202
Real Time and Unix Operating Systems
4
No
SYS-102
Basic Computer Architecture
4
Yes
SYS-205
Storage and File Systems Fundamentals
2
No
SYS-206
Computer Design: Processor Architectures and Digital Design using HDLs
4
No
SYS-207
Networks
4
No
SYS-208
Digital & Analog Circuit Design
4
No
Distributed Systems
SYS-301
Cyber Physical System
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: Entrepreneurship and Innovation
Total credits: 112; Required credits: 4+4 ( choose 1 Business Application Domains)
Subdomain
Code
Competency
Credits
Required?
Entrepreneurship and Innovation
ENI-101
Create Innovation-driven Enterprise (Path Selection)***
4
Yes
ENI-102
Product Design and Development (Including Design Thinking)
8
No
ENI-103
Intellectual Property
2
No
ENI-104
Startup from Idea toImpact
12
No
ENI-105
Building Effective Teams to drive Innovation
No
ENI-106
Entrepreneurial finance****
4
No
Strategy and Innovation
ENI-201
Strategic Innovation Development
4
No
ENI-202
Business Strategy***
2
No
ENI-203
Platform Strategy
4
No
ENI-304
AI for Business
12
No
Leadership and Communication
ENI-301
Inclusive Leadership**
2
No
ENI-302
Persuasive and Leadership Communication**
4
No
ENI-303
Negotiation**
4
No
Business Application Domains *
ENI-401
Retail and Services Applications
4
ENI-402
Logistics
4
ENI-403
**** Biomedical, Bioinformatics and Health
4
ENI-404
Agriculture
4
ENI-405
**** Fintech
4
ENI-406
Educational Technology
4
ENI-407
Gaming Market & Businesses: Foundations
10
ENI-408
Game Development & Production
6
ENI-409
Game content Monetization and Tokenomics
4
ENI-410
E-Sports & Ecosystem Development
4
*Students will usually choose one of these application domains in the context of undergraduate R&D. Other competencies in this pillar may also be addressed via R&D projects.
**Competencies can be counted toward 66 credit social science/communication distribution requirement
***The list of business application domains may be expanded. Students will normally address these competencies in the context of undergraduate research projects.
****Competencies can be counted toward math and science requirements. Other scientific application domains proposed by students or stakeholders may also provide math/science credits.
Pillar: Science
Total credits: 60
Subdomain
Code
Competency
Credits
Required?
Science*
SCI-101
Fundamentals of Biology
12
No
SCI-102
Fundamentals of Chemistry
12
No
SCI-104
Quantum Physics
12
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 (PhysicsI)
3
No
SCI-109
Electricity (Physics II)
4
No
SCI-110
Magnetism (Physics II)
4
No
SCI-111
Light and Optics (PhysicsII)
4
No
* Students must complete a total of 90 credits of math and science competencies.
Pillar: Mathematics
Total credits: 76; Required credits: 36
Subdomain
Code
Competency
Credits
Required?
Calculus*
MAT-101
Calculus - Differentiation
3
No
MAT-102
Calculus - Basic derivatives
2
No
MAT-103
Calculus - Integration
4
No
MAT-104
Calculus - Optimization
3
No
MAT-105
Vector Calculus
6
No
MAT-106
Analytical Geometry
6
No
MAT-107
Differential Equationsand Approximation
12
No
Mathematics for AI*
MAT-201
Matrices and Linear Transformation (Linear algebra)
12
Yes
MAT-202
Data Domains | Time/Frequency Domain
4
No
MAT-203
Descriptive Statistics
2
Yes
MAT-204
Producing Data
3
Yes
MAT-205
Probability distribution
3
Yes
MAT-206
Inference Statistics
4
Yes
MAT-207
Discrete Mathematics
12
Yes
*Students must complete a total of 90 credits of math and science competencies.This includes 36 required credits of the Mathematics for AI competencies as well as some other designated competencies within the six main pillars.
Pillar: Communication and Presentation
Total credits: 62
Subdomain
Code
Competency
Credits
Required?
Communication and Presentation
COM-101
Research and Technical Writing
8
No
COM-102
Creative Writing
8
No
COM-103
Graphics and Visual Storytelling
8
No
COM-104
Public Speaking
8
No
COM-105
Presentation and Storytelling
8
No
COM-106
Project Management
10
No
COM-201
Improvisational Acting
12
No
COM-202
Instructional Design
4
No
Pillar: Humanities, Arts and Social Sciences
Total credits: 92
Subdomain
Code
Competency
Credits
Required?
People, Places, 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
Character Development I
4
No
HAS-111
Character Development II
4
No
HAS-112
Intellectual Property & Policy Management
9
No
HAS-113
AI and ComputerEngineering for Community Impact
4
No
Arts and Music
HAS-106
History of visual arts
8
No
HAS-107
History of music
8
No
Economics
HAS-108
Economics
8
No
Pillar: Soft Skills
Students do not sign up for the competencies under the “soft skills” pillar. However, all students are required to demonstrate these competencies during their undergraduate career. Usually, soft skills will be evaluated by instructors or industry mentors as part of the student’s work on projects or undergraduate R&D.
To facilitate this evaluation, the full AiCE curriculum model breaks down each of these soft skill competencies into a set of observable behaviors that will allow objective assessment of the degree to which the students demonstrate these competencies.
Subdomain
Code
Competency
Credits
Required?
Adaptability
SOF-101
Creative flexibility
Yes
SOF-102
Working flexibility
Yes
Empathy
SOF-201
Human-centered focus
Yes
SOF-202
Respect for diversity
Yes
Ethics
SOF-301
Social consciousness
Yes
SOF-302
Honesty
Yes
SOF-303
Fairness
Yes
Yes
SOF-304
Respect for privacy and confidentiality
Yes
Proactiveness
SOF-401
Service orientation
Yes
SOF-402
Continuous improvement focus
Yes
Professionalism
SOF-501
Responsibility
Yes
SOF-502
Compliance with organizational norms
Yes
SOF-503
Time management
Yes
SOF-504
Quality focus
Yes
SOF-505
Professional awareness
Yes
SOF-506
Interpersonal relations
Yes
Self-Learning
SOF-601
Motivation to learn
Yes
SOF-602
Active learning
Yes
Teamwork
SOF-701
Attention
Yes
SOF-702
Respect and courtesy
Yes
SOF-703
Openness
Yes
SOF-704
Team spirit
Yes
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