iii) CZ1103 Introduction to Computational Thinking and Programming (Core)*#– 3 AUs * For students who pass the exemption test. Introduction to Japanese Computational Linguistics. 0 188,896 already enrolled! To enable the trainers to know the background of the course participants. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. 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 Nakagawa, H., & Shimazu, A. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Course fee refunds will not be considered. Database Administrator, Computer Systems Analyst, Computer Network Architect etc. 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. It aims to provide students with an understanding of the role computation can play in solving problems. translating a problem into a solution in a manner that a computer can effectively solve. CV2013 Engineering Geology & Soil Mechanics. Please enable scripts and reload this page. 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). Learn what an algorithm is and learn to design simple algorithms. Student is required to complete all assessments for each course. (Eds. 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 Learn a form of reasoning, or problem solving, called Computational Thinking. Objectives. (Eds. Relevant Polytechnic Diploma in Science/Engineering. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. ), Readings in Japanese Natural Language Processing, 1-28. 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. CH2107 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. h�b```�J1]Ad`��0p��Čʽ�X:,:�bH@ ��A4�/FFFW&;��LQ��bL�����3~�^5C�-����qn formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. For marketing of courses to participants via E-newsletter. 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 Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Mathematics. To deal with any matter related to the course. 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 Enroll . Bond, F., & Baldwin, T. (2016). 6.00.2x is an introduction to using computation to understand real-world phenomena. �f���������.� � 0 6k 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. 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������ Once payment is made, applicant is committed to the completion of course. 2. This subject is aimed at students with little or no programming experience. Course Aims Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 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. Learn what a computer can do and the primitive operations it can perform. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. formulating a problem and expressing its solution in such a … 221 0 obj <> endobj Welcome to MIT 18.S191 aka 6.S083 aka 22.S092, Fall 2020 edition!. endstream endobj 222 0 obj <>/Metadata 6 0 R/PageLayout/OneColumn/Pages 219 0 R/StructTreeRoot 10 0 R/Type/Catalog>> endobj 223 0 obj <>>>/Rotate 0/StructParents 0/Tabs/S/Type/Page>> endobj 224 0 obj <>stream Formulate a problem and express its solution in such a way that a computer can effectively carry it out. MS1008 Introduction to Computational Thinking. You may be trying to access this site from a secured browser on the server. To submit to organisations for course funding verification (only applicable to funded courses). formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. BS1009 Introduction to Computational Thinking. 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. Course is subject to a first-come-first-serve basis. Introduction to Japanese Computational Linguistics. 246 0 obj <>stream HE9091 Principles of Economics (GER-PE (LA)) Economics MH1810 Mathematics I. 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. h�bbd```b``�"[��0�d�������&s�"f`��`�G0)&/�հ��ڽ@�q���p'���8PN�?��o� o� , Describe the internal operation of a basic processor, how a program is executed by a computer and computing trends. Abstract: The purpose of this chapter is to provide a brief introduction to the Japanese language, and natural language processing (NLP) research on Japanese. Computational thinking (CT) is the process of analysing a problem then designing and expressing its solution in such a way that a computer can effectively carry it out. PH1011 Physics. 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 - … Nanyang Technological University School of Biological Sciences. 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 Learn a subset of a certain programming language called Python. ), Readings in Japanese Natural Language Processing, 1-28. CV2015 Hydraulics CV2016 Hydrology Bond, F., & Baldwin, T. (2016). CE1003 INTRODUCTION TO COMPUTATIONAL THINKING LESSON 2a: Introduction to Python Asst Prof Apply the CT concepts on case studies/problem-based scenarios through hands-on practice of the CT processes. 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