The class will use the Python programming language. 6.00.2x is an introduction to using computation to understand real-world phenomena. 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 - … View Notes - CE1003_LESSON 2a INTRODUCTION TO PYTHON.pdf from CE 1003 at Nanyang Technological University. This subject is aimed at students with little or no programming experience. Abstract: The purpose of this chapter is to provide a brief introduction to the Japanese language, and natural language processing (NLP) research on Japanese. 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 … 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. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 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. 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. 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. 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. Course is subject to a minimum participation number before commencement. Bond, F., & Baldwin, T. (2016). �f���������.� � 0 6k
CH2107 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. 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 All details are correct at time of dissemination. 221 0 obj
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formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. 188,896 already enrolled! CET diploma holders are required to complete the preparatory module before registering the course. Introduction to Computational Thinking and Data Science. Describe the internal operation of a basic processor, how a program is executed by a computer and computing trends. (Eds. Database Administrator, Computer Systems Analyst, Computer Network Architect etc. 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 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. Welcome to MIT 18.S191 aka 6.S083 aka 22.S092, Fall 2020 edition!. 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. 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. translating a problem into a solution in a manner that a computer can effectively solve. 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. I would like to receive email from MITx and learn about other offerings related to Introduction to Computational Thinking and Data Science. CZ1003 Introduction to Computational Thinking## Core 2* 0 2+ 4 3 Student who take this course cannot take CZ1007 concurrently. 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. Code basic programs based on the programming language used in the course 3. 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 … (i.e. 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 Introduction to Japanese Computational Linguistics. Course Aims Computational thinking (CT) is a problem solving process with the aid of computer; i.e. [Lecture: 39 hrs; Pre-requisite: Nil; Academic Unit: 3.0] Learning Objective. Nanyang Technological University, School of Materials Science & Engineering. This subset includes: loops; if then-else and branching 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. 0
HE9091 Principles of Economics (GER-PE (LA)) Economics MH1810 Mathematics I. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Starts Mar 24, 2021. MS1008 Introduction to Computational Thinking. Nakagawa, H., & Shimazu, A. 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. 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 … To understand and study the profile of its course participants for NTU’s policy making and planning. You may be trying to access this site from a secured browser on the server. CV1014 Introduction to Computational Thinking. BS1009 Introduction to Computational Thinking. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. CV2014 Geotechnical Engineering. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. h�bbd```b``�"[��0�d�������&s�"f`��`�G0)&/�հ��ڽ@�q���p'���8PN�?��o� o�
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(Eds. 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. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 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). Formulate a problem and express its solution in such a way that a computer can effectively carry it out. %PDF-1.6
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Once payment is made, applicant is committed to the completion of course. 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 … Course fee refunds will not be considered. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. CV2015 Hydraulics CV2016 Hydrology Nanyang Technological University School of Biological Sciences. equip you with CT skills) 4. iii) CZ1103 Introduction to Computational Thinking and Programming (Core)*#– 3 AUs * For students who pass the exemption test. Bond, F., & Baldwin, T. (2016). 239 0 obj
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Physics § formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. Apply the CT concepts on case studies/problem-based scenarios through hands-on practice of the CT processes. Abstract: The purpose of this chapter is to provide a brief introduction to the Japanese language, and natural language processing (NLP) research on Japanese. 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. Mathematics. Please enable scripts and reload this page. hޜ�mk�0ǿ�^n�b�t�(�8k��Zh���/��$�.���Iv�8KRᐥ���$�� J!��=� ll���E��?H(c�89IF�Y^�BI�q��=/�V
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Student must meet all eligibility criteria for admission. 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. ), Readings in Japanese Natural Language Processing, 1-28. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. Learn a subset of a certain programming language called Python. To submit to organisations for course funding verification (only applicable to funded courses). endstream
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Nakagawa, H., & Shimazu, A. To issue certificate to the course participants. 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 … Some examples are: 246 0 obj
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Learn what a computer can do and the primitive operations it can perform. The School of MAE and NTU are not liable or responsible for any errors or omissions in the contents of these web pages. 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. More details on this test will be disseminated to eligible students via their NTU email after matriculation. 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 To enable the trainers to know the background of the course participants. Introduction to Japanese Computational Linguistics. CV2013 Engineering Geology & Soil Mechanics. ), Readings in Japanese Natural Language Processing, 1-28. # Not applicable to all diplomas. Student is required to complete all assessments for each course. ��=��� i�>�0��Yd� �|�. endstream
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An Introduction to Computational Thinking is being piloted in schools in Maine, South Carolina, Colorado, and Virginia. h�b```�J1]Ad`��0p��Čʽ�X:,:�bH@ ��A4�/FFFW&;��LQ��bL�����3~�^5C�-����qn 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 Learn what an algorithm is and learn to design simple algorithms. 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. %%EOF
Objectives. To deal with any matter related to the course. Introduction to Computational Thinking. BG2211 Introduction to Computational Thinking Computing / Computer Science / Computing Studies. For marketing of courses to participants via E-newsletter. This is an introductory course on Computational Thinking. Computational thinking (CT) is a problem solving process with the aid of computer; i.e. 2. 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 It aims to provide students with an understanding of the role computation can play in solving problems. PH1011 Physics. 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 Enroll . PaCE@NTU reserves the right to change or cancel any course or lecturer due to unforeseen circumstances. Learn a form of reasoning, or problem solving, called Computational Thinking. By a computer can effectively carry it out and Virginia funding verification ( only applicable to funded courses.. The internal operation of a certain programming language called Python course funding verification ( only to! Problems in varied areas applying Data analysis and computational and mathematical modeling pace @ NTU the... Provide students with little or no programming experience in varied areas applying analysis... From MITx and learn about other offerings related to the course expressing its solution in a manner that a can! 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