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To deal with any matter related to the course. Learn a form of reasoning, or problem solving, called Computational Thinking. CET diploma holders are required to complete the preparatory module before registering the course. Student must meet all eligibility criteria for admission. Learn what an algorithm is and learn to design simple algorithms. 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. 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 - … 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. This is an introductory course on Computational Thinking. 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. ), Readings in Japanese Natural Language Processing, 1-28. An Introduction to Computational Thinking is being piloted in schools in Maine, South Carolina, Colorado, and Virginia. Bond, F., & Baldwin, T. (2016). Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Course Aims Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Introduction to Japanese Computational Linguistics. 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. PH1011 Physics. %PDF-1.6
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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. Please enable scripts and reload this page. 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. HE9091 Principles of Economics (GER-PE (LA)) Economics MH1810 Mathematics I. 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 ��=��� i�>�0��Yd� �|�. 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 … Computational thinking (CT) is a problem solving process with the aid of computer; i.e. View Notes - CE1003_LESSON 2a INTRODUCTION TO PYTHON.pdf from CE 1003 at Nanyang Technological University. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 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. CV2013 Engineering Geology & Soil Mechanics. 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. endstream
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translating a problem into a solution in a manner that a computer can effectively solve. We use the Julia programming language to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. endstream
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(i.e. BG2211 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. (Eds. # Not applicable to all diplomas. BS1009 Introduction to Computational Thinking. Enroll . Formulate a problem and express its solution in such a way that a computer can effectively carry it out. This subject is aimed at students with little or no programming experience.
), Readings in Japanese Natural Language Processing, 1-28. CV2015 Hydraulics CV2016 Hydrology equip you with CT skills) 4. formulating a problem and expressing its solution in such a … 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 … It aims to provide students with an understanding of the role computation can play in solving problems. 0
Once payment is made, applicant is committed to the completion of course. 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������ 2. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. Student is required to complete all assessments for each course. To understand and study the profile of its course participants for NTU’s policy making and planning. 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 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). Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 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 Nakagawa, H., & Shimazu, A. Physics § 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 formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. Some examples are: %%EOF
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 (Eds. Introduction to computational thinking Before computers can be used to solve a problem, the problem itself and the ways in which it could be resolved must be understood. Mathematics. 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 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. To enable the trainers to know the background of the course participants. The School of MAE and NTU are not liable or responsible for any errors or omissions in the contents of these web pages. Abstract: The purpose of this chapter is to provide a brief introduction to the Japanese language, and natural language processing (NLP) research on Japanese. Apply the CT concepts on case studies/problem-based scenarios through hands-on practice of the CT processes. Nanyang Technological University, School of Materials Science & Engineering. Starts Mar 24, 2021. 188,896 already enrolled! The class will use the Python programming language. 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 … Introduction to Computational Thinking. The aim of this course is to take you from having no prior experience of thinking in a computational manner to a point where you can … Nakagawa, H., & Shimazu, A. CH2107 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. iii) CZ1103 Introduction to Computational Thinking and Programming (Core)*#– 3 AUs * For students who pass the exemption test. Course fee refunds will not be considered. 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. 221 0 obj
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Learn a subset of a certain programming language called Python. 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 I would like to receive email from MITx and learn about other offerings related to Introduction to Computational Thinking and Data Science. Course is subject to a minimum participation number before commencement. Objectives. This subset includes: loops; if then-else and branching Introduction to Japanese Computational Linguistics. More details on this test will be disseminated to eligible students via their NTU email after matriculation. 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. 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. Bond, F., & Baldwin, T. (2016). For marketing of courses to participants via E-newsletter. Database Administrator, Computer Systems Analyst, Computer Network Architect etc. 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 You may be trying to access this site from a secured browser on the server. 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. Course is subject to a first-come-first-serve basis. CZ1003 Introduction to Computational Thinking## Core 2* 0 2+ 4 3 Student who take this course cannot take CZ1007 concurrently. 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. CV1014 Introduction to Computational Thinking. To issue certificate to the course participants. CE1003 INTRODUCTION TO COMPUTATIONAL THINKING LESSON 2a: Introduction to Python Asst Prof 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 Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 6.00.2x is an introduction to using computation to understand real-world phenomena. 246 0 obj
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PaCE@NTU reserves the right to change or cancel any course or lecturer due to unforeseen circumstances. 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. Introduction to Computational Thinking and Data Science. 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. [Lecture: 39 hrs; Pre-requisite: Nil; Academic Unit: 3.0] Learning Objective. MS1008 Introduction to Computational Thinking. Code basic programs based on the programming language used in the course 3. �f���������.� � 0 6k
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