There will be a three hour final exam. Scores in the four individual areas are determined as follows: Homework (30%) We drop your lowest score. Home Problem sets count for 15% of the final grade. 2. ), Learn more at Get Started with MIT OpenCourseWare, MIT OpenCourseWare makes the materials used in the teaching of almost all of MIT's subjects available on the Web, free of charge. The subject coverage is divided into three parts: 1. If you miss part of recitation or glaringly fail to work constructively with your team, then you get 1 point. Now, by definition, none of you are under-qualified for this course. If you have already taken 18.310 or 6.046, then you should not take 6.042. Learn more », © 2001–2018 In addition, we want to maintain a productive educational environment, and thus we don't want over-qualified students making other students feel inadequate, when in fact they are only inexperienced. Modify, remix, and reuse (just remember to cite OCW as the source. The original textbook for 6.00 and the course lectures parallel each other, though there is more detail in the book about some topics. The text is Mathematics for Computer Science, available in the Readings section. 6-P: The Masters of Engineering (MEng) Program The MEng or Masters of Engineering Program (6-P) enables students to earn Course 6 bachelor's and master's degrees simultaneously over a period of five or five and a half years. There's no signup, and no start or end dates. Online readings will be posted on the appropriate session pages. Massachusetts Institute of Technology. 3. Courses You are encouraged to collaborate on problem sets as you do on teams in class. Making a reasonable effort on the problem sets is, for most students, crucial for mastering the course material. Reading will be assigned each week with the problem sets. The coach will initially resist answering questions about the material, always trying first to find a team member who can explain the answer to the rest of the team. If you are absent, you get 0 points. Use OCW to guide your own life-long learning, or to teach others. Introduction to Computation and Programming Using Python. By the end of this course, you should be able to: Said another way, we want to help you learn to apply computational modes of thought to frame problems, and to guide the process of deducing information in a computational manner. Position students so that they can compete for jobs by providing competence and confidence in computational problem solving. There's no signup, and no start or end dates. Download files for later. It may include a few questions which combine topics that were originally covered separately. A more complete list of readings and references (not all of which are specifically assigned during lectures) can be found in the References section. Prepare college freshmen and sophomores who have no prior programming experience or knowledge of computer science for an easier entry into computer science or electrical engineering majors. Let's start with the strategic goals of this course: 1. 3. Midterm questions will typically be variations of prior problems from class and psets, and the best way to prepare is to review on the published solutions to these problems. If you find a published solution, you should cite it, and you may not simply copy it. » If you choose not to purchase the textbook, you will probably find it useful to buy or borrow another book that covers Python. If you show up on time, stay the whole hour, and work constructively with teammates, then you've got 20% in the bag. There's no signup, and no start or end dates. Attend lecture! (Office hours are also a good opportunity to find collaborators.). Prepare students from other majors to make profitable use of computational methods in their chosen field. Discrete probability theory. Sessions are not aimed to test how well a student can solve the problems in class; the goal is to have students understand how to solve them by the end of the session. Watching designated videos, or at least looking at the lecture-slide handouts, is generally helpful but optional. Calculate probabilities and discrete distributions for simple combinatorial processes; calculate expectations. Since one of the goals of this course is to become familiar with programming, you will need to install and use the Python programming language and the interpreter IDLE. » The book is NOT required. Additionally, many problem sets have accompanying code required for completing the assignment, and these are posted as .PY (Python) files. Fundamental concepts of mathematics: Definitions, proofs, sets, functions. 6.0001 Introduction to Computer Science Programming in Python 6 6.042[J] Mathematics for Computer Science 12 Select one of the following: 9-12 6.UAT Oral Communication (CI-M) 6.UAR Seminar in Undergraduate Advanced Research (12 units, CI-M) Select one of the following: 12 6.01 Introduction to EECS via Robotics 6.02 Introduction to EECS via A second edition of the textbook is now available. Send to friends and colleagues. This subject offers an introduction to discrete mathematics oriented toward computer science and engineering. Courses Fundamental concepts of mathematics: Definitions, proofs, sets, functions. Find materials for this course in the pages linked along the left. Position students so that they can compete for jobs by providing competence and confidence in computational problem solving. Electrical Engineering and Computer Science, all collaborators, other than course staff, all written sources that you consulted, other than the text and course handouts from this term.
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