Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements?
ofrecido por
Mathematical Thinking in Computer Science
Universidad de California en San DiegoAcerca de este Curso
Habilidades que obtendrás
- Mathematical Induction
- Proof Theory
- Discrete Mathematics
- Mathematical Logic
ofrecido por

Universidad de California en San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Programa - Qué aprenderás en este curso
Making Convincing Arguments
Why some arguments are convincing and some others are not? What makes an argument convincing? How can you establish your argument in such a way that there is no room for doubt left? How can mathematical thinking help with this? In this section, we start digging into these questions. Our goal is to learn by examples how to understand proofs, how to discover them on your own, how to explain them, and — last but not least — how to enjoy them: we will see how a small remark or a simple observation can turn a seemingly non-trivial question into an obvious one.
How to Find an Example?
How can we be certain that an object with certain requirements exist? One way to show this, is to go through all objects and check whether at least one of them meets the requirements. However, in many cases, the search space is enormous. A computer may help, but some reasoning that narrows the search space is important both for computer search and for "bare hands" work. In this module, we will learn various techniques for showing that an object exists and that an object is optimal among all other objects. As usual, we'll practice solving many interactive puzzles. We'll show also some computer programs that help us to construct an example.
Recursion and Induction
We'll discover two powerful methods of defining objects, proving concepts, and implementing programs — recursion and induction. These two methods are heavily used in discrete mathematics and computer science. In particular, you will see them frequently in algorithms — for analysing correctness and running time of algorithms as well as for implementing efficient solutions. For some computational problems (e.g., exploring networks), recursive solutions are the most natural ones. The main idea of recursion and induction is to decompose a given problem into smaller problems of the same type. Being able to see such decompositions is an important skill both in mathematics and in programming. We'll hone this skill by solving various problems together.
Logic
Mathematical logic plays a crucial and indispensable role in creating convincing arguments. We use the rules and language of mathematical logic while writing code, while reasoning and making decisions, and while using computer programs. This week we’ll learn the basics of mathematical logic, and we'll practice tricky and seemingly counterintuitive, but yet logical aspects of mathematical logic. This will help us to write readable and precise code, and to formulate our thoughts rigorously and concisely.
Reseñas
- 5 stars63,98 %
- 4 stars24,12 %
- 3 stars6,98 %
- 2 stars1,97 %
- 1 star2,93 %
Principales reseñas sobre MATHEMATICAL THINKING IN COMPUTER SCIENCE
Mathematical Thinking in Computer Science course is very interesting to solve the puzzles and to think solutions in more than one way, This was surely enthusiastic :-)
Hi ,I am Aditya i Really Enjoyed this Course, This course gives a lot of Puzzels and Riddles and it's really fun to solve them , I am moving Towards Next cource now
Contents are very good for starting..... But the Teachers way of explaining is not up to the mark. I need to search in youTube or google for understanding any topic even watching the videos.
Positive: Great material, full of concepts, the teaching is simple and interactive, quizzes are amazing. Negative: Too much python programming (need to be aware of python basics)
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