Course details
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• 4A1N2 - Introduction to Computer and Information Technology (3 credits)
• 2C4T2 - Computer Networking and Distributed Systems (2 credits)
• 2F3C3 - Algorithmic Thinking and Problem-solving (3 credits)
• 2M2E2 - Introduction to Electric/Electronic Systems and Circuit Analysis (2 credits)
• 3D2P3 - Data Structures and Programming (4 credits)
• 2S2C2 - Applied Statistics and Data Analysis (3 credits)
• 4D3C4 - Introduction to Machine Learning and Artificial Intelligence (3 credits)
• 3T2C3 - Data Communication and Network Fundamentals (3 credits)
• 2X2Q2 - Introduction to Fundamentals of Electronics and Circuit analysis (2 credits)
Note: These units are based on a generic Engineering/Computer Science curriculum and are not specific to Transportation Logistics. However, they lack the exact qualifying professional certificate requirements. Here's a note for additional computer science units needed to obtain a professional certificate in robotics for Transportation Logistics:
4A2R4 - Machine Design and Mechanical Systems (2 credits)
4M3M4 - Robotic Systems and Sensors (4 credits including 3 credits for lab-based practical work)
3G4S4 - Computer Vision and Machine Learning (5 c4 Algorithmic thinking and problem-solving
4U4T5 - Mechanical Design and Manufacturing4EX4Z4 - Sensor and Actuator Systems4GR4T4 - Machine Learning and Natural Language Processing4T3R4 -4thA5A5th5D3D5
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