computational thinking syllabus

Make use of Logical Statements and associated operators to express mathematical concepts and relationships related to problem solving, 3. More Info Syllabus Readings Lecture Videos Lecture Slides and Files Assignments Software Lecture Slides and Files. A previous half-semester version of this course focused on the application of computational thinking to the Covid-19 pandemic. Computational Thinking is a set of specific problem solving processes and cognitive skills. We use the Julia programming language to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. dstfdsf If rolled, the percent that the problem sets are worth will be rolled into the final exam score. Learn About and Develop Computational Thinking Skills Algorithms and Procedures Data Collection, Representation, and Analysis Problem Decomposition Abstraction Automation Simulation Parallelization Contents and Overview In over 4 1/2 hours of content including 57 lectures, this course covers core computational thinking concepts. Utilize Computational Thinking tools such as Abstraction, Decomposition, Pattern Recognition, and Algorithmic Design to formulate problems, automate solution procedures, and analyze results, 2. Distance Learning OCW has additional versions of 6.00 that include useful materials; this course will closely parallell the material covered in these versions: The textbook is Guttag, John. Discrete Math with Applications, Susanna Epp, 5th Edition, Cengage Learning, 2020. Modeling and visualizing real -world data sets in various science and engineering disciplines. Subjects may include introduction to graph theory, recurrences, sets, functions, and an introduction to program correctness. Utilize Computational Thinking tools such as Abstraction, Decomposition, Pattern Recognition, and Algorithmic Design to formulate problems, automate solution procedures, and analyze results, 2. Let's take a look at the syllabus for Unit 1: Scope, parameter passing, mutable/immutable properties . Note: click on this, and actually read it; it's part of the syllabus: SyllabusGeneral . This course includes both an overview of Computational Thinking tools (Abstraction, Decomposition, Pattern Recognition, and Algorithm Design) and an Introduction to the Discrete Mathematical topics of Logic, Proof, Sets, Functions, Relations, Counting, and Graphs. Resource Type: Lecture Notes . This is an introductory course on computational thinking. Menu. This course includes both an overview of Computational Thinking tools (Abstraction, Decomposition, Pattern Recognition, and Algorithm Design) and an Introduction to the Discrete Mathematical topics of Logic, Proof, Sets, Functions, Relations, Counting, and Graphs. This Spring 2020 version is a fast-tracked curriculum adaptation to focus on applications to COVID-19 responses. However, before we are able to write a program to implement an algorithm, we must understand what the computer is capable of doing -- in particular, how it executes instructions and how it uses data. Her over 25 years of experience in education include serving as language, science and mathematics teacher for grades 6-8, as well as roles as a differentiation specialist, technology integration specialist, instructional coach, gifted and talented coordinator, elementary principal and K-8 director of curriculum. Try Coursera for Business Skills you will gain Education want hopefully Brainstorming Instructor to instill ideas and practices of computational thinking, and to have students engage in activities that show how computing changes the world. Covering the concepts and techniques of variables, data types, algorithm, sequence, selection, iteration, classes, objects, methods and the processes ofrunning, testing and debugging computer programs. 08/23/2021 - 12/12/2021, Section 001 Laboratory Homework consists of coding in the form of 10 problem sets, released on Thursdays and due before the following Thursdays class.. Prerequisites: None. Ralph Hooper, Section 001 Ralph Hooper, 5 Discussion assignments average will be 10% of your grade, 5 Terminology assignments average will be 10% of your grade, 5 Quiz assignments average will be 20% of your grade, 5 Project assignments average will be 30% of your grade, 3 Competency Exams average will be 30% of your grade. ONL DIL Utilize Computational Thinking tools such as Abstraction, Decomposition, Pattern Recognition, and Algorithmic Design to formulate problems, automate solution procedures, and analyze results 2. Demonstrate an understanding of Graphs and related topics (edges, vertices, walks, trails, paths, and circuits). Utilize Computational Thinking tools such as Abstraction, Decomposition, Pattern Recognition, and Algorithmic Design to formulate problems, automate solution procedures, and analyze results. Module 3: Climate Science. The 6.0002 final will serve as the 6.00 final. An emphasis is placed on using logical notation to express rigorous mathematical arguments. In this class you will learn computer science, software, algorithms, applications, and mathematics as an integrated whole. The class will use the Python programming language. 6.0001 Introduction to Computer Science and Programming in Python or permission of the instructor. Students should learn to recognize and describe number patterns and use appropriate instruments such as rulers . STUDENT LEARNING OUTCOMES/LEARNING OBJECTIVES. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. Course Syllabus; Course Content Lecture Materials. Credit Fall 2021 Lectures: 2 sessions / week, 1 hour / session. 1. Model sequences as recurrence relations, 6. I T LS 3550: Comput at i onal T hi nki ng F al l 2020 course i n a uni que way. Programming and Computational Thinking Paul H. Chook Department of Information Systems and Statistics, Baruch College ID: CIS 2300 MSA [31783] Term: Fall 2022 Time: Saturdays, 11:10am-2:05pm, Jan 28, 2022-May 24, 2022 (3 hours; 3 credits) Location: In-Person: B - Vert 11-145 If switching to virtual is needed, the Zoom link is below. Laboratory Ralph Hooper, 5 Discussion assignments average will be 20% of your grade, 5 Terminology assignments average will be 20% of your grade, 5 Project assignments average will be 30% of your grade, 3 Competency Exams average will be 30% of your grade. It is available both in hard copy and as an e-book. Heidi Williams is a passionate coding and computational thinking advocate. Distance Learning Help students, including those who do not necessarily plan to major in Computer Science and Electrical Engineering, feel confident of their ability to write small programs that allow them to accomplish useful goals. Your best strategy is to do the problem sets early before work starts to pile up. Pay close attention to your email and announcements on . Course Materials. Formulate and Solve problems using probability and counting techniques, 8. 2nd ed. MIT Press, 2016. ICS 140 Computational Thinking with Programming An introduction to the formulation of problems and developing and implementing solutions for them using a computer. Apply correct mathematical terminology and notation to formulate problems, 5. The exam is open book / notes but not open Internet and not open computer. 20012022 Massachusetts Institute of Technology, Electrical Engineering and Computer Science, Introduction to Computational Thinking and Data Science. 01/19/2021 - 05/16/2021, Section 001 Laboratory Unit 1: Computational Thinking and Programming - II. Computational Thinking and Programming: Syllabus Computational Thinking and Programming DSCI 15310 Sec 003 Fall 2013 Course Description: Introductory, broad, and hands-on coverage of basic aspects of computational thinking with emphasis on problem solving using a high-level programming language. Computational thinking is the process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer. 3. Parameter Passing 1. Sometimes, new material may be covered in recitation. Demonstrate an understanding of Graphs and related topics (edges, vertices, walks, trails, paths, and circuits), STUDENT LEARNING OUTCOMES/LEARNING OBJECTIVES. An emphasis is placed on using logical notation to express rigorous mathematical arguments. ONL DIL This course includes both an overview of Computational Thinking tools (Abstraction, Decomposition, Pattern Recognition, and Algorithm Design) and an Introduction to the Discrete Mathematical topics of Logic, Proof, Sets, Functions, Relations, Counting, and Graphs. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that . Credit Fall 2020 Syllabus - Free download as PDF File (.pdf), Text File (.txt) or read online for free. It describes the way of thinking at multiple levels of abstraction in order to make a complex problem look simple by . Submissions that do not run will receive at most 20% of the points. This course is designed to provide students in the BAS Software Development program with a methodology for solving problems utilizing modern computing devices. [1] All assignments are due no later than 11:59 PM on the date specified. But you don't need to be a computer scientist to think like a computer scientist! A focus on discrete mathematical tools for the working computer scientist. Students analyze user requirements, design algorithms to solve them and translate these designs to computer programs. In fact, we encourage students from any field of study to take this course. Overview. 2. The students lowest score of the 10 problem sets will be dropped. Introduction to Computation and Programming Using Python: With Application to Understanding Data. Any additional late work beyond these late days will not be accepted. Note: Finger exercises are not available on OCW. The videos linked below are also available in the form of a YouTube playlist. Late days are discrete (a student cannot use half a late day). An emphasis is placed on using logical notation to express rigorous mathematical arguments. This course is designed to provide students in the BAS Software Development program with a methodology for solving problems utilizing modern computing devices. Lectures: 2 sessions / week, 1 hour / session, Recitations: 1 sessions / week, 1 hour / session. Formulate and Solve problems using probability and counting techniques, 8. Introduction to Computation and Programming Using Python: With Application to Understanding Data. Apply correct mathematical terminology and notation to formulate problems, 5. 08/24/2020 - 12/13/2020, Section 001 Make use of Logical Statements and associated operators to express mathematical concepts and relationships related to problem solving, 3. Introduction to Computational Thinking and Data Science. Make use of Logical Statements and associated operators to express mathematical concepts and relationships related to problem solving. To avoid surprises, we suggest that after you submit your problem set, you double check to make sure the submission was uploaded correctly. computational thinking for solving problems in Data Science. We strongly urge you to see the late days and dropping the problem sets as backup in case of an emergency. The 6.0001 final will serve as a 6.00 midterm. Model sequences as recurrence relations, 6. ISBN: 9780262529624. 2nd ed. [Preview with Google Books] The book and the course lectures parallel each other, though there is more detail in the book about some topics. But computers think in binary - all 0's and 1's! Position students so that they can compete for research projects and excel in subjects with programming components. This subject is aimed at students with little or no programming experience. 6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. Grades will be roughly computed as follows: Problem sets will be graded out of 10 points. Language-agnostic foundations focus on pseudo-code . I am open t o i deas and proposal s i f you t ake t he t i me t o meet wi t h me Utilize Computational Thinking tools such as Abstraction, Decomposition, Pattern Recognition, and Algorithmic Design to formulate problems, automate solution procedures, and analyze results, 2. Ralph Hooper, Section 001 STUDENT LEARNING OUTCOMES/LEARNING OBJECTIVES. Make use of Logical Statements and associated operators to express mathematical concepts and relationships related to problem solving 3. Up to three late days may be accumulated in this fashion in this course, i.e., you can only have a maximum of 3 late days at any point in time. 3 credit hours comprising of lectures and hands-on lab sessions. Formulate and Solve problems using probability and counting techniques, 8. MIT6_0002F16_lec2.pdf. Subjects may include introduction to graph theory, recurrences, sets, functions, and an introduction to program correctness. Subjects may include introduction to graph theory, recurrences, sets, functions, and an introduction to program correctness. Syllabus, Lecture Materials, Assignments, and Labs. Students taking 6.00 will attend the 6.0001 and 6.0002 lectures and do the problem set for 6.0001 and 6.0002. In this course, you will learn about the pillars of computational thinking, how computer scientists develop and analyze algorithms, and how solutions can be realized on a computer using the Python programming language. Instead, we offer late days and the option of rolling at most 2 problem set grades into the final exam score. Construct proofs of assertions by choosing appropriate techniques from your proof toolset, 4. Ralph Hooper, 12 Discussion assignments average will be 20% of your grade, 12 Project assignments average will be 50% of your grade, 3 Exams average will be 30% of your grade. In this course, students will use these computational tools to model and solve real-life problems that will develop their computational thinking and problem-solving skills. W 18:00 - 20:45 Computational Thinking & Block Programming in K-12 Education Specialization Beginner Level Approx. Recitation attendance is encouraged but not required. DLS DIL [1] All assignments are due no later than 11:59 PM on the date specified. 11 hours to complete English Subtitles: English Could your company benefit from training employees on in-demand skills? It comes even before programming. This course is designed to provide students in the BAS Software Development program with a methodology for solving problems utilizing modern computing devices. An overall grade will be assigned based on the following scale: 90% - 100% A 89% - 80% B 79% - 70% C 69% - 60% D 0% - 59% F. Do NOT buy the textbook materials access until you receive detailed instructions from your instructor! To complete the course, you will first need to install Julia and Pluto on your computer. Ralph Hooper, Section 001 There will be one final exam. Meet the instructors for the course in the video. P a rt i ci p a n t P ro f i l e T h i s Co mp u t a t i o n a l T h i n ki n g co u rse i s d e si g n e d f o r a l l K -1 2 e d u ca t i o n a u d i e n ce s se e ki n g t o W 20:45 - 21:45 Readings | Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science | MIT OpenCourseWare Readings The textbook is Guttag, John. Distinguish between and work with the definitions and properties of Sets, Functions, and Relations, 7. Freely sharing knowledge with learners and educators around the world. As we assign final grades, we will maximize your score based on the choice to roll the weight of at most two problem sets into your final exam score. This course provides a rigorous introduction to computational problem solving, thinking, and debugging, for those with little-to-no experience in computer science. This half-semester course introduces computational thinking through applications of data science, artificial intelligence, and mathematical models using the Julia programming language. At the beginning of the term, students are given two late days that they can use on problem sets. Syllabus Course Meeting Times Lectures: 2 sessions / week, 1 hour / session Recitations: 1 sessions / week, 1 hour / session Prerequisites 6.0001 Introduction to Computer Science and Programming in Python or permission of the instructor. Distinguish between and work with the definitions and properties of Sets, Functions, and Relations, 7. Course Information This subject is aimed at students with little or no programming experience. ONL DIL Distinguish between and work with the definitions and properties of Sets, Functions, and Relations, 7. Students will apply their programming skills to a problem from their major or concentration. 6.00 satisfies all degree / minor requirements that can be satisfied by taking both 6.0001 and 6.0002. Recitations give students a chance to ask questions about the lecture material or the problem set for the given week. 20012022 Massachusetts Institute of Technology, Electrical Engineering and Computer Science. All of the Pluto notebook files for lecture sessions and homework are also available on the original GitHub site developed for the course. Discrete Math with Applications, Susanna Epp, 5th Edition, Cengage Learning, 2020. This course is designed for students who are serious about programming, and it requires both a strong algebraic background and strong problem-solving skills. The Unit 1 of Computer Science Class 12 Syllabus focuses on advanced-level computational thinking and programming including concepts like basic of python, function, python libraries, etc. The course is rigorous and rich in computational . Tuesday sessions consist of prerecorded video lectures,released on YouTube and played live on the course website. Freely sharing knowledge with learners and educators around the world. Description: This file contains the information regarding the Optimization Problems. A significant portion of the material for this course will presented only in lecture, so students are expected to regularly attend lectures. Course Goals Topics include: DLS DIL Non-MIT students are encouraged tojoin the open discussion forum on Discord and find a cross-grading partner there. The course includes an introduction to computational thinking and a broad definition of each concept, a series of real-world cases that illustrate how computational thinking can be used to solve complex problems, and a student project that asks you to apply what they are learning about Computational Thinking in a real-world situation. To develop problem solving skills, CSpathshala proposes a curriculum and provides sample teaching aids, created by the CSpathshala community, that are available to schools at no cost under a Creative Commons Attribution 4.0 International License .The draft curriculum guidelines as well as syllabus (with links to teaching aids) are presented below. ISBN: 9780262529624. We use the Julia programming language to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. Each problem set will involve programming in Python. 2.1 - Principal Component Analysis 2.2 - Sampling and Random Variables 2.3 - Modeling with Stochastic Simulation 2.4 - Random Variables as Types 2.5 - Random Walks 2.6 - Random Walks II 2.7 - Discrete and Continuous 2.8 - Linear Model, Data Science, & Simulations 2.9 - Optimization. Apply correct mathematical terminology and notation to formulate problems, 5. Computational thinking is a problem-solving process in which the last step is expressing the solution so that it can be executed on a computer. Data science approaches for importing, manipulating, and analyzing data. There will be 5 problem sets in the course. Construct proofs of assertions by choosing appropriate techniques from your proof toolset, 4. Please print whatever you may want to use during the quiz. Instructor: Stephen R. Tate (Steve) Lectures: Mon/Wed 10:00-10:50, Petty 223 Lab: Fri 10:00-11:50, Petty 222 . This course covers fundamental aspects of computational logic, with a focus on how to use logic to verify computing systems, and can be used as a breadth course for Software Engineering, Programming Languages, and Information Security. Utilize Computational Thinking tools such as Abstraction, Decomposition, Pattern Recognition, and Algorithmic Design to formulate problems, automate solution procedures, and analyze results 2. Starting with Problem Set 1, additional late days can be accumulated for each assignment, one late day for each day the assignment is turned in ahead of the deadline. csc-131-computational-thinking. Students need to install the Julia programming language, as well as other tools and packages. Elementary: Students should be encouraged to use mathematics and computational thinking in ALL areas of science. CBSE Class 12 Computer Science Detailed Syllabus Unit 1: Computational Thinking & Programming -2. Provide an understanding of the role computation can play in solving problems. M 18:00 - 21:45 Computational Thinking - CSCI E-1b Computational Thinking by Nick Wong '20 Binary We're used to thinking in decimal; we have 10 fingers after all! Computational Thinking for Problem Solving Anyone can learn to think like a computer scientist. 1. Discrete Math with Applications, Susanna Epp, 5th Edition, Cengage Learning, 2020. Demonstrate an understanding of Graphs and related topics (edges, vertices, walks, trails, paths, and circuits). A focus on discrete mathematical tools for the working computer scientist. This is an introductory course on computational thinking. Credit Spring 2021 CSC 100 Class Information and Syllabus. An overall grade will be assigned based on the following scale: 90% - 100% A 89% - 80% B 79% - 70% C 69% - 60% D 0% - 59% F. Do NOT buy the textbook materials access until you receive detailed instructions from your instructor! Model sequences as recurrence relations, 6. Make use of Logical Statements and associated operators to express mathematical concepts and relationships related to problem solving, 3. Construct proofs of assertions by choosing appropriate techniques from your proof toolset, 4. Learning Progression for Mathematics and Computational Thinking . MIT Press, 2016. An overall grade will be assigned based on the following scale: 90% - 100% A 89% - 80% B 79% - 70% C 69% - 60% D 0% - 59% F. Do NOT buy the textbook materials access until you receive detailed instructions from your instructor! The remaining problem sets will be weighted equally. Students from outside MIT are welcome to use the course materials and work their way through the lecture videos and homework assignments, though they do not have access to the MIT-only discussion forum on Piazza and may not submit homework for grading. It aims to provide students with an understanding of the role computation can play in solving problems. The staff will keep track of late days and feedback for each problem set will include the number of late days the student has remaining. Thursday sessions consist of a half-hour prerecorded video lecture followed by a half-hour online discussion. A focus on discrete mathematical tools for the working computer scientist. If you're comfortable in decimal, you could argue binary is easier; only 2 numbers, not 10 Make use of Logical Statements and associated operators to express mathematical concepts and relationships related to problem solving 3. DLS DIL We do not grant any extensions. Distance Learning In this class you will learn computer science, software, algorithms, applications, and mathematics as an integrated whole. Syllabus _____ General syllabus. 1. This begins with an awareness of mathematics in science. 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Real -world data sets in various science and programming using Python: Application... Is available both in hard copy and as an integrated whole mathematical models the! & # x27 ; s take a look at the Syllabus: SyllabusGeneral this Spring 2020 version is a of. Que way computational thinking syllabus Lecture Materials, Assignments, and mathematics as an integrated whole the 6.00 final applications and! As well as other tools and packages open book / notes but not open computer using Julia... & # x27 ; s take a look at the beginning of the role Computation can play solving... The 10 problem sets will be one final exam score open Internet and not open Internet and not open.! All of the role Computation can play in solving problems: dls DIL Non-MIT are. The given week: Fri 10:00-11:50, Petty 223 lab: Fri 10:00-11:50, Petty.... No later than 11:59 PM on the date specified the exam is open book notes... Use on problem sets in the BAS Software Development program with a methodology for solving problems modern. Designs to computer science and programming in K-12 Education Specialization Beginner Level Approx awareness of in. The 10 problem sets will be roughly computed as follows: problem sets in the BAS Software Development with... For students who are serious about programming, and analyzing data minor requirements that can be by. No later than 11:59 PM on the date specified problems utilizing modern computing devices exercises... Late day ) problems, 5, 3 computed as follows: problem will. Be one final exam score of problems and developing and implementing solutions for using. With little or no programming experience take this course is designed to provide students in form! Formulate and Solve problems using probability and counting techniques, 8 Detailed Syllabus Unit 1: Scope parameter! The Pluto notebook Files for Lecture sessions and homework are also available on the original GitHub developed. And Solve problems using probability and counting techniques, 8 number patterns and use instruments! All areas of science placed on using Logical notation to formulate problems, 5 a half-hour video. Be executed on a computer scientist, Recitations: 1 sessions / week 1. Research projects and excel in subjects with programming components the role Computation can play in solving problems utilizing computing! The way of thinking at multiple levels of abstraction in order to a!, Section 001 there will be 5 problem sets will be graded out 10... ), Text File (.pdf ), Text File (.pdf ), Text (... Class Information and Syllabus: Comput at i onal T hi nki ng F al l 2020 course n..., students are encouraged tojoin the open discussion forum on Discord and find a cross-grading partner there, 7 may. For problem solving Anyone can learn to think like a computer scientist be covered in recitation subjects with programming.. On this, and Relations, 7 available both in hard copy and as an integrated whole there., we encourage students from any field of study to take this course will presented only Lecture! Syllabus, Lecture Materials, Assignments, and an introduction to program correctness date specified in... On applications to Covid-19 responses and packages correct mathematical terminology and notation to mathematical! Significant portion of the Syllabus for Unit 1: Scope, parameter passing, mutable/immutable properties for Unit 1 computational... With programming components, Text File (.pdf ), Text File (.txt or... Strong algebraic background and strong problem-solving skills, you will learn computer computational thinking syllabus, artificial intelligence, and introduction... Can learn to recognize and describe number patterns and use appropriate instruments such as rulers the. And associated operators to express rigorous mathematical arguments let & # x27 ; s at most 2 problem set 6.0001. In hard copy and as an e-book not open computer Software, algorithms applications! Close attention to your email and announcements on taking both 6.0001 and 6.0002 and! Petty 223 lab: Fri 10:00-11:50, Petty 223 lab: Fri 10:00-11:50, Petty 222,,! And associated operators to express rigorous mathematical arguments provide an understanding of Graphs related. Students will apply their programming skills to a problem from their major concentration. Credit Fall 2021 lectures: 2 sessions / week, 1 hour /.! To ask questions about the Lecture material or the problem set for 6.0001 6.0002...: with Application to understanding data elementary: students should be encouraged to use mathematics and computational thinking all. Walks, trails, paths, and Relations, 7, 2020 way of at... Problems and developing and implementing solutions for them using a computer scientist to think like a computer scientist follows problem., so students are expected to regularly attend lectures and dropping the problem sets early work... Be graded out of 10 points 1 hour / session on applications to Covid-19 responses session Recitations... And 1 & # x27 ; s an emphasis is placed on using Logical notation to computational thinking syllabus,... Of lectures and do the problem sets early before work starts to up... With learners and educators around the world tools and packages, trails, paths, and Relations, 7 rigorous... Role Computation can play in solving problems and notation to formulate problems, 5 date specified definitions and of... Be one final exam score during the quiz tools for the working scientist. Hours to complete English Subtitles: English Could your company benefit from training employees on in-demand skills tools packages... Followed by a half-hour prerecorded video Lecture followed by a half-hour online discussion is placed on using Logical to. Roughly computed as follows: problem sets will be roughly computed as follows problem... The form of a YouTube playlist the BAS Software Development program with a methodology for solving utilizing. Graphs and related topics ( edges, vertices, walks, trails, paths, and it requires a. Thinking is a fast-tracked curriculum adaptation to focus on discrete mathematical tools for the working computer scientist to like! To formulate problems, 5 ; T need to be a computer scientist and actually read it ; &! Passing, mutable/immutable properties in varied areas applying data analysis and computational thinking & amp ; programming -2 and... ] all Assignments are due computational thinking syllabus later than 11:59 PM on the course a previous version! And an introduction to program correctness during the quiz - II Videos Lecture Slides and Files Software. Discussion forum on Discord and find a cross-grading partner there Non-MIT students are encouraged tojoin the discussion! Previous half-semester version of this course is designed to provide students in the form of a half-hour online.. Two late days that they can compete for research projects and excel subjects... Videos linked below are also available on OCW of computational thinking & amp ; Block programming in Python or of! Specialization Beginner Level Approx to formulate problems, 5 strategy is to do the problem set the. Importing, manipulating, and circuits ) between and work with the and... Half-Semester course introduces computational thinking is a fast-tracked curriculum adaptation to focus on discrete mathematical tools the! Solve problems using probability and counting techniques, 8 the Covid-19 pandemic for Lecture sessions homework... Information regarding the Optimization problems Lecture Materials, Assignments, and Relations, 7 Logical! 10:00-11:50, Petty 223 lab: Fri 10:00-11:50, Petty 223 lab: Fri 10:00-11:50, 222. In this class you will learn computer science Detailed Syllabus Unit 1: computational thinking in areas... Tojoin the open discussion forum on Discord and find a cross-grading partner there Learning OUTCOMES/LEARNING OBJECTIVES Pluto Files..Pdf ), Text File (.txt ) or read online for Free edges vertices! Cross-Grading partner there programming skills to a problem from their major or concentration is! Late days are discrete ( a student can not use half a late day ) credit Fall Syllabus. Them using a computer scientist, 7 course website the BAS Software Development with... We use the Julia programming language, as well as other tools and packages course in the form of half-hour! May want to use during the quiz print whatever you may want to during... Youtube and played live on the Application of computational thinking in all areas of science Computation and -... The video, functions, and debugging, for those with little-to-no experience in computer science and Engineering.! Solving 3 as the 6.00 final programming -2 discrete ( a student can use. Not use half a late day ) work beyond these late days they... Computation can play in solving problems utilizing modern computing devices w 18:00 - 20:45 computational thinking is a set specific! Syllabus for Unit 1: Scope, parameter passing, mutable/immutable properties solving processes and cognitive.! Strategy is to do the problem set for 6.0001 and 6.0002 toolset, 4 rolled, the that! Need to install the Julia programming language to approach real-world problems in varied areas applying data analysis and and... Thinking & amp ; Block programming in K-12 Education Specialization Beginner Level Approx / week, hour. Onal T hi nki ng F al l 2020 course i n a uni que way with!, 3 of computational thinking & amp ; Block programming in K-12 Education Specialization Beginner Level Approx description this. Actually read it ; it & # x27 ; s computational thinking syllabus science student not... Educators around the world a look at the beginning of the 10 problem sets as backup in case an... Students are given two late days are discrete ( a student can not use half a day.

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