Programming Fundamentals II University of Florida

Programming Fundamentals II University of Florida

Programming Fundamentals II University of Florida

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Programming Fundamentals II is a university course offered by the University of Florida as a continuation of Programming Fundamentals I. The course aims to equip students with the necessary programming skills to develop more complex and comprehensive software applications. It covers a range of topics, including data structures, algorithms, and object-oriented programming concepts.

The course is typically designed for computer science majors, but it is also suitable for students who wish to develop programming skills and gain a deeper understanding of the software development process. Students are expected to have basic knowledge of programming concepts, such as loops, conditional statements, and functions.

 

Course Content

Programming Fundamentals II covers several core topics, including:

Data Structures: The course introduces students to various data structures, such as arrays, linked lists, stacks, and queues. Students learn how to implement and manipulate these data structures in different applications.

Algorithms: The course covers several algorithm design techniques, such as divide and conquer, dynamic programming, and greedy algorithms. Students learn how to analyze the efficiency of algorithms and how to apply these techniques to solve different problems.

Object-Oriented Programming: Students learn the fundamental concepts of object-oriented programming, including classes, objects, inheritance, and polymorphism. They also learn how to design and implement object-oriented software applications.

Graphs and Trees: The course covers the basics of graph theory and tree structures. Students learn how to represent and manipulate graphs and trees in different applications, such as searching and sorting algorithms.

Recursion: The course covers the concept of recursion and its application in problem-solving. Students learn how to write recursive functions and how to analyze the efficiency of recursive algorithms.

Advanced Topics: The course also covers advanced topics, such as concurrency, networking, and database programming. Students learn how to design and implement multi-threaded programs, network-based applications, and how to access and manipulate data stored in databases.

 

Course Delivery

Programming Fundamentals II is typically delivered through a combination of lectures, tutorials, and practical assignments. Lectures cover the core topics, while tutorials provide students with an opportunity to work on practical problems and apply the concepts covered in the lectures.

Assignments are designed to challenge students and reinforce their understanding of the course material. These may include programming assignments, written assignments, and exams. Students are expected to spend significant time working on assignments, which may require the use of programming languages such as Java, Python, or C++.

 

Assessment

The assessment for Programming Fundamentals II typically comprises of several components, including:

Assignments: These may include programming assignments, written assignments, and group projects.

Midterm Exam: Students are typically required to take a midterm exam, which tests their understanding of the course material covered up to that point.

Final Exam: The final exam is typically comprehensive and covers all course material.

Participation: Students are expected to attend lectures and tutorials regularly and participate in class discussions.

 

Conclusion

Programming Fundamentals II is a challenging and rewarding course that provides students with the necessary skills and knowledge to develop complex software applications. It covers a range of topics, including data structures, algorithms, and object-oriented programming concepts. The course is typically delivered through a combination of lectures, tutorials, and practical assignments, which allow students to apply the concepts covered in the lectures. Students are expected to spend significant time working on assignments, which may require the use of programming languages such as Java, Python, or C++.

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