Lecture 1 GEST1002 Quantitative Reasoning for Social Sciences PDF

GEST1002 Quantitative Reasoning for Social Sciences Lecture #1 Course Overview Dr. Jumin Huang 19 Aug 2024 Today’s Target  Understand the objectives of this course  Understand the course content & assessment method  Reference Material  Have a brief idea about “Quantitative Reas...

GEST1002 Quantitative Reasoning for Social Sciences Lecture #1 Course Overview Dr. Jumin Huang 19 Aug 2024 Today’s Target  Understand the objectives of this course  Understand the course content & assessment method  Reference Material  Have a brief idea about “Quantitative Reasoning” GEST1002 Quantitative Reasoning for Social Sciences Section 5 Zhenghai Tang Jumin Huang Bei Li Haiyan Zhang Lecture #1 Course Overview  Prof. Zhenghai Tang Office: E12-2013, Tel: 8822 4938 E-mail: [email protected] Office hour: Wed 16:00 - 17:00, Thu 10:00 - 11:00 Assistant Professor Faculty of Health Sciences, University of Macau Research interests: Cancer Immunotherapy: Providing an in-depth mechanistic understanding of immune checkpoints for rational development of first-in-class monoclonal antibodies. CRISPR Screening: Screening novel immune checkpoints by CRISPR with specific sgRNA library for cancer therapy. CAR Macrophages: Developing CAR macrophages against cancer.  Dr. Jumin Huang Faculty of Health Sciences E-mail: [email protected] Office hours: Monday: 3:00- 4:00 p.m. Friday: 3:00- 4:00 p.m. Office: N22 3003 Office Tel: 8822 2964 Research Assistant Professor, Faculty of Health Sciences, University of Macau Research interests: Investigation of anti-tumor immunity of traditional Chinese medicine (TCM) by modulating gut microbiota. Investigation the anti-tumor mechanism of essential oils via gut-brain axis. Clinical application and transformation of TCM aromatherapy.  Dr. Bei LI Office: E12 1023, Tel: 8822 4222 E-mail: [email protected] Office hour: Wed, Fri, 4:00 PM – 5:00 PM Research Assistant Professor, Faculty of Health Sciences, University of Macau Research interests:  Precision cancer immunotherapy;  Reprogramming of tumor-associated immunosuppression;  Bioresponsive materials;  Targeted drug delivery system;  Immunoadjuvants;  Dr. Haiyan Zhang M.D., Ph.D. Office: N22-4034, Tel: 8822 2903 E-mail: [email protected] Office hour: Mon, Fri, 16:00-17:00 Research Assistant Professor, Faculty of Health Sciences, University of Macau Research interests:  Combination cancer immunotherapies;  Endogenous antitumor immunity;  Immunosuppression;  Cancer Immunoediting;  Immune related adverse events Teaching Assistants Shan Tianjiao, Email: [email protected] Ph.D student, Faculty of Health Sciences Wu JianPing, E-mail: [email protected] Ph.D student, Faculty of Health Sciences Medium of Instruction All Classroom materials available in Moodle https://ummoodle.um.edu.mo/ Classroom E4-G062 11 Class meetings  Mondays and Thursdays  8:30 AM – 9:45 AM  Please be on time!!! 12 Course videos  Videos for each lecture are about 20 minutes long.  Students are required to watch the videos before each lecture. The attendance questions may be related to the videos.  A link to the videos is on UMMoodle, together with the lecture PDF file.  A complete list can be found at: Course: GEST1002 - Quantitative Reasoning for Social Science (2024-1 005) (um.edu.mo) 13 Reference book: Using & Understanding Mathematics: A Quantitative Reasoning Approach by Jeffrey Bennett (Author), William Briggs (Author) Course Description  Content: ◦ Managing your money (Lectures 2 - 5) ◦ Basic logic operations and logical inference (Lectures 6 - 9) ◦ Probability and statistics (Lectures 10 - 20) ◦ Basics of mathematical modelling (Lectures 21 - 24) ◦ Real-life applications (Lectures 25 - 27)  Objective: ◦ to develop students’ quantitative reasoning skills through the enhancement of their mathematical and statistical literacy Intended Learning Outcomes (ILO) Upon completion of the course, each student should:  Demonstrate an understanding of basic skills in logical inference.  Be able to apply basic probability theory to reasoning with uncertainty.  Be able to apply basic statistical skills to solve real life problems.  Be able to describe how mathematics can be used in everyday life.  Be able to build simple mathematical models and use these models to get approximate answers to real life problems Assessment Methods  Attendance and participation: 10 pts ◦ 0.5 pts X 20 = 10 points  Two graded assignments: 20 pts ◦ 10 points X 2 = 20 points  Final Examination : 70 pts ◦ Multiple choice questions only  TOTAL: 100 pts Absence requests  Must inform (by email) the instructor before class.  Must attach the approved form from your faculty.  A medical certificate is required for medical reasons.  In the email, please tell us clearly your name, the date of absence, and the course (GEST1002-005). Keep in mind:  Failure to check in on time for class without submitting an absence request is considered an absence.  You will not be allowed to take the final exam and will receive a failing grade if absence is ≥ 20% of the course duration. 18  Assignments  Online assignments on UMMoodle  Multiple choice questions  Two non-graded assignments for you to practice  Two graded assignments, each has  30 questions, 10 points  The 1st one covers lectures 1-11 and will be given out after lecture 11; due before lecture 14.  The 2nd one covers lectures 15-23 and will be given out after lecture 23; due before lecture 27. Note: Assignments may be submitted only once, and the system will close promptly at the designated time. Please submit the assignments earlier before the deadline in case of any unexpected problems. We CAN NOT open the system once it closes. 19 Final examination  Covering course content from the Lecture #1 to Lecture #26  Closed-book examination  50 multiple choice questions  70 points = 70% of total marks of this course 20 Reason to learn Quantitative reasoning: To prepare you for the mathematics you will encounter in other college courses, particularly core courses in social and natural sciences. To develop your ability to reason with quantitative information in a way that will help you achieve success in your career. To provide you with the critical thinking and quantitative reasoning skills needed to understand major issues in life What is Quantitative Reasoning? Quantitative Literacy  Literacy ◦ Ability to read and write (讀寫能力,識字) ◦ To read and write about the important issues of our time ◦ To effectively navigate and decipher information surrounding us  Quantitative reasoning (計量推理) ◦ the process of interpreting and reasoning with quantitative information  Quantitative literacy (數量性的識字, 數據素養) ◦ Abilities to interpret and reason with quantitative information Quantitative Reasoning in the Work Force Skill required in different occupations Famous people who study mathematics Mathematics as the Sum of Its Branches  logic—the study of principles of reasoning;  arithmetic (算术) —methods for operating on numbers;  algebra (代数)—methods for working with unknown quantities;  geometry—the study of size and shape;  trigonometry—the study of triangles and their uses;  probability—the study of chance;  statistics—methods for analyzing data;  calculus—the study of quantities that change Mathematics as a Way to Model the World Mathematics as a Language The Book of Nature is written in the language of mathematics. ——Galileo  Managing Your Money (lectures 2 – 5)  Money has a great influence on our lives.  This section is aimed to teach you some basic mathematic skills to manage your money.  The power of compounding ◦ Simple versus Compound Interest ◦ How to calculate compound interest?  Savings plans and investment ◦ How to save money for retirement or other purposes? ◦ Type of investments; how to choose?  Loan payments ◦ Credit card interest ◦ Mortgage Loan Payments – Avoiding Credit Card Trouble Loan Payments – Borrowing Money -How to borrow smartly? Basic Logic Operations and Logical Inference (lectures 6-9) 基本邏輯運算和邏輯推理  Basic logic operations: and, or, negation, etc.  Logical inference, truth table.  Arguing logically Probability and Statistics (lectures 10 – 20)  Elementary probability  From data to information  A normal world  From samples to populations  Decision making under uncertainty Probability: Living with the Odds  Look at how practical and powerful can be in our everyday lives Not just for gambling Decision Making Under Uncertainty  a disciplined, methodical / structured approach to decision making, with probabilistic analysis at the heart of its logical reasoning. Algebra and Basics of Mathematical Modelling (lectures 21 – 24)  Mathematical Model is the expression that presents a problem in mathematical language.  Being applied in our day-to-day life.  If we know how to make a model to a situation, it makes us easier to tackle the situation.  Proportionality  Linear equations  Graphs and tables  Simple exponents  Concept of function $28.9 $33.9  Idea of correlation $13.5 $13.9  Algorithms How to choose? Which one is cheaper? Application examples (lectures 25 – 27)  Formulating real world problems and finding the solutions  Mathematics and the Arts  Mathematics and Voting How to obtain the height of Macau Tower using a pencil, a piece of paper and a tape ruler on a sunny day? Mathematics and the Arts Mathematics and Voting  Which Method is Fair?  Is the US Presidential Election System Fair? Thank you!