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Course Projects: Expectations and Deadlines
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Software Development: Debugging, Testing, and Code Management
Explores program development, debugging, testing, and code management best practices for reliable software.
Deep Learning: Designing Neural Network Models
Covers the design and optimization of neural network models in deep learning.
Software Development: Debugging, Testing, and Code Management
Explores program development, debugging, testing, and code management best practices, emphasizing correctness, documentation, and efficiency.
Spatial Configuration and Teaching
Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.
Collaborative Data Science: Tools and Techniques
Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.
Testing Strategies: Code Coverage and Quality
Covers testing strategies, emphasizing code coverage and quality in software development through various testing methodologies and practical examples.
Prime Numbers: Finding and Testing
Covers the definition of a function to determine if a given number is prime.
Unit Testing in Java: Arrays
Discusses unit testing for Java arrays and methods to find min, average, and sort.
Project Evaluation and Submission
Covers project evaluation, testing practices, and submission requirements for students.