• Tidak ada hasil yang ditemukan

2023/04/18

N/A
N/A
Protected

Academic year: 2024

Membagikan "2023/04/18"

Copied!
4
0
0

Teks penuh

(1)

2023/04/18

Use of ICT in Class

UNIPA (LMS system), Office 365.

Use of ICT outside Class

UNIPA (LMS system), ChatGPT, Office 365.

Subject Area Quantitative Reasoning & Natural Sciences Number of Credits 3

(NOTE 1) Class Methods are subject to change

(NOTE 2) Depending on the class size and the capacity of the facility, we may not be able to accommodate all students who wish to register for the course"

Active Learning Methods

Active learning method in this class requires students to work individually or in groups, to solve problems, propose solutions, and explain ideas in writing.

(DP1) To Value Knowledge - Having high oral and written communication skills to be able to both comprehend and transfer knowledge iCLA Diploma Policy DP2

Class plan based on course evaluation from previous academic year

Based on student feedback from the previous offering of this course there will be regular in-class quizzes. This will help students understand better their learning and over all progress.

Course related to the instructor's practical experience (Summary of experience)

Not Applicable.

Learning Goals

By the end of the course student should be able to:

1. Appreciate the role of mathematics in Nature, Humanities, and Social sciences.

2. Apply mathematical strategies to solve problems in the world of finance, politics, arts, etc.

iCLA Diploma Policy

(DP2) To Be Able to Adapt to a Changing World - Having critical, creative, problem-solving, intercultural skills, global and independent mindset to adopt to a changing world

(DP4) To Act from a Sense of Personal and Social Responsibility - Having good ethical and moral values to make positive impacts in the world

(DP3) To Believe in Collaboration - Having a disposition to work effectively and inclusively in teams

This course gives an introduction to the beauty and power of the ideas of mathematics. Topics include:

numbers, games, infinity, harmony and symmetry, cryptography, networks, chaos and fractals, finance, voting theory.

Course Number QREA101

Course Title Math for Liberal Arts

Prerequisites None

Department International College of Liberal Arts

Semester Spring 2023 Year Offered

(Odd/Even/Every Year) Every Year

Course Description

Class Style Lecture Class Methods Face to face

Course Instructor JHINGAN Sanjay Year Available (Grade

Level) 1

1 / 4

(2)

2023/04/18

Class 1

Introduction to the course, mathematics and the art of problem solving.

Class 2

Critical Thinking, "What is problem solving" (Polya's method).

Class 3

Fallacies of common language, logic, truth tables, analyzing arguments.

Class Number Content

Class Schedule Other Additional Notes

This class will be conducted primarily as an interactive lecture. Students are expected to participate in class discussions in an inquisitive, thoughtful, and constructive manner. We will follow the textbook reasonably closely and students should review the suggested study materials before joining the class.

To have a better grade be regular in the course, be active and attentive in the class, do revision of classwork on a regular basis, and participate in class quizzes.

(NOTE 3) Class schedule is subject to change Required Textbook(s)

1. Karl J. Smith - The Nature of Mathematics – Brooks/Cole, Cengage Learning.

2. Math100: Liberal Arts Mathematics, Saburo Matsumoto (available for free download via the open education resource, LibreTexts project.

Other Reading Materials/URL

The Heart of Mathematics: An invitation to effective thinking, Edward Burger and Michael Starbird, (4th Edition) John Wiley.

Plagiarism Policy

Plagiarism is the dishonest presentation of the work of others as if it were one’s own. Duplicate submission is also treated as plagiarism. Depending on nature of plagiarism you may fail the assignment or the course. Repeated act of plagiarism will be reported to the University which may apply additional penalties.

Grading Criteria

Grading Methods Grading Weights

Feedback Methods

UNIPA, and Office 365 will be used for regular feedback to quizzes. Student can use office hours for discussion.

Expected study hours outside class

It is important to work each day, especially before and after the class. Plan to spend 8 hours per week for the class.

Grading Content

In-class quizzes 100% Nine quizzes will be conducted during the

course. See the grading rubric.

2 / 4

(3)

2023/04/18

Class 16

Mathematics and finance: Annuities and Loans, Continuous Compounding.

Class 17

Mathematics and finance: Federal Budget and National Debt. In-class quiz.

Class 18

Mathematics of Chance: Probability basics.

Class 13

The nature of algebra: Equations, Inequalities, Algebra in problem solving.

Class 14

A review of concepts. In-class quiz.

Class 15

Mathematics and finance: Simple and Compound interest.

Class 10

Mathematics and numbers: Binary systems, Natural, Prime, Integers, Rational and Irrational numbers.

Estimation, Big and Small numbers, Percentages and Proportions.

Class 11

A review of concepts. In-class quiz.

Class 12

The nature of algebra: Polynomials, Factoring.

Class 7

Review of concepts. In-class quiz.

Class 8

Mathematics and numbers: Early numeration systems, Babylonian and Egyptian systems.

Class 9

Mathematics and numbers: Early numeration systems, Roman system. Decimal system, the Hindu Arabic numerals,

Class 4

Fallacies of common language, logic, truth tables, analyzing arguments. In-class quiz.

Class 5

Nature of sets: Sets, Subsets. Venn diagrams.

Class 6

Nature of sets: Set operations and applications. Finite and Infinite sets.

3 / 4

(4)

2023/04/18

Class 19

Mathematics of Chance: Conditional probability and Expected Value.

Class 20

Class 29

Mathematics and Politics: Weighted voting. Power Index.

Class 30

A review of concepts. In-class quiz.

A review of concepts. In-class quiz.

Class 21

Data and Statistics: Basic Statistics, Describing Data.

Class 28

Mathematics and Politics: Voting theory.

Class 25

Mathematics and the Arts: Projective geometry, The golden ration, Fibonacci sequence, Music, Fractals, Networks and trees.

Class 26

Mathematics and the Arts: In-class quiz.

Class 27

Mathematics and Politics: Apportionment.

Class 22

Data and Statistics: Numerical measures of Central Tendency.

Class 23

Data and Statistics: Normal Distribution. In-class quiz.

Class 24

Mathematics and the Arts: Projective geometry, The golden ration, Fibonacci sequence, Music, Fractals, Networks and trees.

4 / 4

Referensi

Dokumen terkait

2023/04/18 Practice exercises on Probability distributions Class 18 Probability distributions continued Class 17 Bernoulli, Binomial, Poisson distributions Class 16 Module 5:

Grading Criteria Use of ICT in Class UNIPA functions Use of ICT outside Class UNIPA functions Participation Written 15% See the rubric Several Short Writing Assignments 20% See the

Class 12 Week 6: Data science 2Basic command on Windows and Mac Abhishek Parida Class 16 Week 8: Writing and presentation 2Presentation David Knudsen Class 17 Week 9: Academic

Class 25 Class 24-26 Quiz two +Final essay topic discussions and individual consultation session with each student Class 26 Class 24-26 Quiz two +Final essay topic discussions and

Class 10 Chapter 7, Multivariable Regression Analysis with Qualitative information Class 11 Chapter 8, Heteroskedasticity Class 15 Dummy Variables Instrumental Variables Class 16

Class 10 Day 2: Revealed Preference; Recitation and practice Class 11 Week 6 Cha 8 Lecture 6: Consumer theory VI: Slutsky equation Day 1: The substitution effect; The income effect

Class 25 Class 24-26 Quiz two +Final essay topic discussions and individual consultation session with each student Class 26 Class 24-26 Quiz two +Final essay topic discussions and

2023/04/18 Class 20 Day 10 Web Scraping using Beautifulsoup Day 7 Descriptive Statistics Class 14 Day 7 Descriptive Statistics Class 15 Day 8 Exploratory Data Analysis Class