introduction to computational thinking ntu

��=��� i�>�0��Yd� �|�. Learn what a computer can do and the primitive operations it can perform. Nakagawa, H., & Shimazu, A. %PDF-1.6 %���� CV2014 Geotechnical Engineering. ), Readings in Japanese Natural Language Processing, 1-28. ), Readings in Japanese Natural Language Processing, 1-28. Learn a subset of a certain programming language called Python. It aims to provide students with an understanding of the role computation can play in solving problems. This subset includes: loops; if then-else and branching The primary goal of this course is to enhance your “Digital Literacy” by introducing you to some real-life application of data-driven computational thinking and decision, so that you may observe the true power of your computing skills in handling practical problems. Student is required to complete all assessments for each course. Once payment is made, applicant is committed to the completion of course. 6.00.2x is an introduction to using computation to understand real-world phenomena. Bond, F., & Baldwin, T. (2016). Apply the CT concepts on case studies/problem-based scenarios through hands-on practice of the CT processes. Relevant Polytechnic Diploma in Science/Engineering. CV1014 Introduction to Computational Thinking. Database Administrator, Computer Systems Analyst, Computer Network Architect etc. iii) CZ1103 Introduction to Computational Thinking and Programming (Core)*#– 3 AUs * For students who pass the exemption test. To understand and study the profile of its course participants for NTU’s policy making and planning. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. �f���������.� � 0 6k Welcome to MIT 18.S191 aka 6.S083 aka 22.S092, Fall 2020 edition!. Abstract: The purpose of this chapter is to provide a brief introduction to the Japanese language, and natural language processing (NLP) research on Japanese. BG2211 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. It includes a number of characteristics, such as breaking a problem into small and repetitive ordered steps, logically ordering As such, computational thinking is essential not only to the Computer Science discipline, it can also be used to support problem solving across all disciplines, including math, science, engineering, business, finance and humanities. CE1003 INTRODUCTION TO COMPUTATIONAL THINKING LESSON 2a: Introduction to Python Asst Prof formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. Course fee refunds will not be considered. CV2013 Engineering Geology & Soil Mechanics. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. CH2107 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. Formulate a problem and express its solution in such a way that a computer can effectively carry it out. Nanyang Technological University School of Biological Sciences. Learn a form of reasoning, or problem solving, called Computational Thinking. In addition, the course will include topics to appreciate the internal operations of a processor, and raise awareness of the socio-ethical issues arising from the pervasiveness of computing technology. %%EOF For marketing of courses to participants via E-newsletter. c. CE/CZ1003 Introduction to Computational Thinking* (Core) - 3 AUs d. CE/CZ1004 Inventions and Innovations in Computing (Core) - 2 AUs e. GER Electives (BM, LA) - 6 AUs f. Unrestricted electives - 15 AUs g. Additional 3 AUs in Technical Elective 3 (Core elective, to be taken from CE4xxx or CZ4xxx) or other relevant courses on a Objectives. Nanyang Technological University, School of Materials Science & Engineering. 1 PS0002 Introduction to Data Science and Artificial Intelligence Academic Year AY2019/2020 Semester 1 Course Coordinator Xiang Liming (lmxiang@ntu.edu.sg) Course Code PS0002 Course Title Introduction to Data Science and Artificial Intelligence Pre -requisites PS0001 Introduction to Computational Thinking No of AUs 3 Contact Hours Lecture: 26, Lab&tutorial: 23 formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. I would like to receive email from MITx and learn about other offerings related to Introduction to Computational Thinking and Data Science. The aim of this course is hence to take students with no prior experience of thinking in a computational manner to a point where they can derive simple algorithms and code the programs to solve some basic problems in their domain of studies. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. You may be trying to access this site from a secured browser on the server. 2. h�bbd```b``�"[��0�d�������&s�"f`��`�G0)&/�հ��ڽ@�q���p'���8PN�?��o� o� , More details on this test will be disseminated to eligible students via their NTU email after matriculation. BS1009 Introduction to Computational Thinking. Page 1 of 9 MA0218 – Introduction to Data Science and Artificial Intelligence Academic Year AY1920 Semester 2 Course Convener Prof Sameer Alam (MAE) Course Code MA0218 Course Title Introduction to Data Science and Artificial Intelligence Pre-requisites MA1008 Introduction to Computational Thinking OR FE1008 Computing OR CY1402 Computing Pre-requisite for Nil Abstract: The purpose of this chapter is to provide a brief introduction to the Japanese language, and natural language processing (NLP) research on Japanese. 0 formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. The class will use the Python programming language. To issue certificate to the course participants. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. An Introduction to Computational Thinking is being piloted in schools in Maine, South Carolina, Colorado, and Virginia. CZ1003 Introduction to Computational Thinking## Core 2* 0 2+ 4 3 Student who take this course cannot take CZ1007 concurrently. MS1008 Introduction to Computational Thinking. HE9091 Principles of Economics (GER-PE (LA)) Economics MH1810 Mathematics I. CH2107 Introduction to Computational Thinking Computing / Computer Science / Computing Studies CBE, CBBM, CBFS, CBEC CV1014 Introduction to Computational Thinking Computing / Computer Science / Computing Studies CEE, CVBM, CVSU, CVEC, EE, ENBM, ENSU, ENEC: EE1005 From Computational Thinking to Programming All details are correct at time of dissemination. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. CET diploma holders are required to complete the preparatory module before registering the course. 221 0 obj <> endobj It includes a number of characteristics, such as breaking a problem into small and repetitive ordered steps, logically ordering and analyzing data and creating solutions that can be effectively implemented as … CV1711 Engineering Drawing and 3D Building Information Modelling (Not applicable for AY2019/20 Direct Entry students and onwards) CV2011 Structural Analysis I. CV2012 Structural Analysis II. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. To enable the trainers to know the background of the course participants. Physics § Starts Mar 24, 2021. Course is subject to a minimum participation number before commencement. Getting to know NTU Getting to know Singapore (The Great Singapore Race) 01-Jul 02-Jul 03-Jul 04-Jul 05-Jul 06-Jul 07-Jul AM 9am - 1pm PM 1.30pm - 5.30pm CZ1003 Introduction to Computational Thinking CZ1003 CZ1003 08-Jul 09-Jul 10-Jul 11-Jul 12-Jul 13-Jul 14-Jul AM 9am - 1pm PM 1.30pm - … 188,896 already enrolled! 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. At PaCE@NTU, participants’ personal information is collected, used and disclosed for the following purposes: Online Credit/Debit Card Payment (VISA and Mastercard only), Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus). It includes a number of characteristics, such as breaking a problem into small and repetitive ordered steps, logically ordering and analyzing data and creating solutions that can be effectively implemented as algorithms running on computer. # Not applicable to all diplomas. [Lecture: 39 hrs; Pre-requisite: Nil; Academic Unit: 3.0] Learning Objective. equip you with CT skills) 4. Introduction to Computational Thinking: 3: Core: BS1100: Molecular and Cell Biology Techniques Level 1: 3: GER-Core: GC0001: Sustainability: Seeing through the Haze^ 1: Core: HP2100: Research Design and Data Analysis in Psychology: 3: Total AUs: 19 PaCE@NTU​ reserves the right to change or cancel any course or lecturer due to unforeseen circumstances. Student must meet all eligibility criteria for admission. NTU research or other projects, or with additional Certificate in Mathematics from Diploma‐Plus programmes, or having taken and done well in university level courses. Nakagawa, H., & Shimazu, A. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. Please enable scripts and reload this page. View Notes - CE1003_LESSON 2a INTRODUCTION TO PYTHON.pdf from CE 1003 at Nanyang Technological University. PS0001 - Introduction to Computational Thinking 3: 1 1 HW0128 - Scientific Communication I: 2 1: 2 GC0001 - Sustainability: Seeing Through the Haze: 1: 1: 2 PS8001 - Defence Science: 3 2: 1 ML0003 - Kickstart your Career Success 1 2 1 P S0002 - Introduction to Data Science and Arti ficial Intelligence: 3: 2 2 It includes a number of characteristics, such as breaking a problem into small and repetitive ordered steps, logically ordering and analyzing data and creating solutions that can be effectively implemented … Course Aims Computational thinking (CT) is a problem solving process with the aid of computer; i.e. hޜ�mk�0ǿ�^n�b�t�(�8k��Zh���/��$�.���Iv�8KRᐥ���$�� J!��=� ll���E��?H(c�89IF�Y^�BI�q��=/�V ɷ�sk�ɤ��+����jӴ�{L�G�P`t���lY��_�YY<6��n�(s.@.�:�\f��^�.����.���m�v�H.�f��q�+�J��hY?U�22�i��/����s���xn�&��/-���r�l����gլ~*�yrWT�jU��'E�jNj�yہ���2.�g�KqQ/�m�fڼ䱬i}[- ���r��v������ Introduction to Computational Thinking. formulating a problem and expressing its solution in such a … Computational thinking (CT) is a problem-solving process that can be used to develop solutions for a wide range of problems across various disciplines, including math, science, engineering, business, finance and humanities. Introduction to Computational Thinking 3 Core - Sem 1 & 2 MA2001 Mechanics of Materials 3 Core - Sem 1 & 2 MA2003 Introduction to Thermo-fluids 3 Core - Sem 1 & 2 MA2004 Manufacturing Process 3 Core - Sem 1 & 2 MA2005 Engineering Graphics 3 Core … PH1011 Physics. translating a problem into a solution in a manner that a computer can effectively solve. 239 0 obj <>/Filter/FlateDecode/ID[<66C2748770FA7B4A800447FECA5ABC81>]/Index[221 26]/Info 220 0 R/Length 93/Prev 113685/Root 222 0 R/Size 247/Type/XRef/W[1 3 1]>>stream To submit to organisations for course funding verification (only applicable to funded courses). Introduction to Computational Thinking and Data Science. Course is subject to a first-come-first-serve basis. Access study documents, get answers to your study questions, and connect with real tutors for SCE CZ1003 : Introduction to Computational Thinking at Nanyang Technological University. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Describe the internal operation of a basic processor, how a program is executed by a computer and computing trends. The development team includes members with expertise in computer science and in subject areas that include science, mathematics, language arts, social studies, engineering, art, and formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. YEAR 1 SEMESTER 2 CZ1011 Engineering Mathematics I Core 2 1 1+ 4 3 ‐ CZ1012 Engineering Mathematics II Core 2 1 1+ 4 3 CZ1011 (can be taken We use the Julia programming language to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. This is an introductory course on Computational Thinking. Mathematics. 246 0 obj <>stream Bond, F., & Baldwin, T. (2016). CZ1103 Introduction to Computational Thinking and Programming, NTU SGUnited Mid-Career Pathways Programme (SGUP-CT), NTU Class of 2020 (Graduate Certificate & ​​​​MiniMasters, Bonus Alumni Course Credits for 2020 Undergraduates. Primitive operations it can perform Julia programming language to approach real-world problems in areas! Natural language Processing, 1-28 on the server it can perform right to change or cancel any course lecturer! To eligible students via their NTU email after matriculation its course participants the. And the primitive operations it can perform on the programming language used in the course language approach! Assessments for each course Processing, 1-28 it can perform trying to access this site from a secured browser the! Mathematics I how a program is executed by a computer can effectively carry it out funding verification ( applicable! 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