Diploma in Applied Artificial Intelligence (T69) TP Course Overview
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COURSE TITLE: T69 Diploma in Applied Artificial Intelligence
INSTITUTE: Temasek Polytechnic
COURSE DURATION: 3 Years
FIELD OF STUDY: Information and Digital Technologies
CERTIFICATION OFFERED: Diploma in Applied Artificial Intelligence
ADMISSION TYPE: JAE, JPAE, Poly EAE, PFP, DAE
Course Description
We live in a world where almost everything is automated, and AI is no exception. In the future, AI will also be used to control robotics and machines. The rise of AI is also expected to have an enormous impact on healthcare with AI being used to predict a person’s health risks and set personalized goals for each patient. Artificial intelligence is already being used to streamline medical procedures like checkups and surgeries. By using AI to monitor patients and adjust procedures as needed, AI can drastically reduce the time it takes to get a patient from point A to B. We can now develop healthcare solutions that help frontliners in the fight against COVID-19.
In this course, you will learn how to develop chatbots, how to use artificial language processing technology to translate language from one to another, and how to use machine learning and deep learning algorithms to create unique solutions for businesses and industry.
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Minimum Entry Requirements
For N(A)-Level students seeking admission through PFP
SUBJECT | GRADE |
English Language (EL1)* | 1-3 |
Mathematics (E or A) | 1-3 |
Any one of the following subjects
|
1-3 |
Any 2 other subjects excluding CCA | 1-3 |
For O-Level students seeking admission through JAE
SUBJECT | GRADE |
English Language | 1-7 |
Mathematics (Elementary/Additional) | 1-6 |
Any 2 other subjects | 1-6 |
*To be admitted, you must have also taken one of the listed subjects in the 2nd group of relevant subjects for the ELR2B2-C aggregate type. This subject will be used for ELR2B2-C aggregate computation.
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Course Modules
Year 1
TP Fundamentals (TPFun) Subjects
SUBJECT CODE | SUBJECT | CREDIT UNITS |
LEA1011 | LEA1011 Leadership: Essential Attributes & Practice 1 | 1 |
MCR1001 | Career Readiness 1 | 1 |
CCS1006 | Communication & Information Literacy | 2 |
LSW1002 | Sports & Wellness | 2 |
CCS1008 | Persuasive Communication | 2 |
GCC1001 | Current Issues & Critical Thinking | 2 |
CGS1002 | Global Studies | 3 |
Diploma Subjects – Core Subjects
SUBJECT CODE | SUBJECT | CREDIT UNITS |
CIA1C07 | Logic and Mathematics | 3 |
CIT1C19 | User Experience and Interface Design | 3 |
CIT1C18 | Computational Thinking | 4 |
CIT1C20 | Coding and Development Project | 4 |
CIA1C11 | Data Visualisation and Analytics | 4 |
CIA1C06 | Database Application Development | 4 |
CIT1C14 | Data Structures and Algorithms | 4 |
CCF1C02 | IT Systems Security Essentials | 4 |
CMC1C08 | Network Technology | 4 |
Year 2
TP Fundamentals (TPFun) Subjects
SUBJECT CODE | SUBJECT | CREDIT UNITS |
MCR1002 | Career Readiness 2 | 1 |
LEA1012 | Leadership: Essential Attributes & Practice 2 | 1 |
LEA1013 | Leadership: Essential Attributes & Practice 3 | 1 |
CCS1007 | Workplace Communication | 2 |
CGS1003 | Managing Diversity at Work* | 3 |
CGS1004 | Global Citizenship & Community Development* | 3 |
CGS1005 | Expressions of Culture* | 3 |
TGL1001 | Guided Learning | 3 |
CIN1001 | Innovation & Entrepreneurship | 2 |
* Students must choose one of these courses or TGL1001 Guided Learning.
Diploma Subjects – Core Subjects
SUBJECT CODE | SUBJECT | CREDIT UNITS |
CAI2C01 | Robotic Process Automation | 4 |
CMC2C16 | IoT Application Development | 4 |
CIA2C14 | Data Science Essentials | 4 |
CAI2C02 | AI and Ethics | 4 |
CAI2C03 | Deep Learning and Object Recognition | 4 |
CAI2C04 | Cloud Technologies | 4 |
CAI2C05 | Natural Language Processing | 4 |
CIT3C15 | Machine Learning for Developers | 4 |
Year 3
TP Fundamentals (TPFun) Subjects
SUBJECT CODE | SUBJECT | CREDIT UNITS |
MCR1003 | Career Readiness 3 | 1 |
CSI3004 | Student Internship Programme | 16 |
Diploma Subjects – Core Subjects
SUBJECT CODE | SUBJECT | CREDIT UNITS |
CAI2C06 | AI for Advanced Manufacturing | 4 |
CAI2C07 | AI for Cybersecurity | 4 |
CMP3101 | Major Project | 10 |
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Graduation Requirements
Cumulative Grade Point Average (CGPA) | min 1.0 |
TP Fundamental Subjects | 40 credit units |
Diploma Subjects – Core Subjects | 84 credit units |
Total Credit Units Completed | min 124 credit units |
Internship
- INTERNSHIP DURATION: 20 Weeks
- INTERNSHIP TIMEFRAME: Year 2
Career Prospects
You can pursue the following career path after graduation:
- Web Application Developers
- Android Mobile App Developers
- Data Analysts
- AI/Machine Learning Engineers
- Applications Developers
- AI Engineer
- Robotics Process Automation (RPA) Engineer
- Software Engineer
- Frontend Developer
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