Quantitative Reasoning-II
MATH-1107
Course Introduciton:
This is the fellow up course of quantitative reasoning 1 course. It will
enhance the quantitative reasoning skills learned in quantitative reasoning
1 course. Students will be introduced to more tools necessary for
quantitative reasoning skills along with mathematical skills to live in the
fast paced 21st century.
These quantitative reasoning skills will help students to better participate
in national and international issues like political and health issues. This
course will prepare the students to apply quantitative reasoning tools more
efficiently in their professional and daily life
activities. This course will help them to better understand the information
in form of numeric,
graphs, tables, and functions
Course Objective:
At the end of semester, students will be able to:
1. Students will be introduced to the above listed concepts, and they will
be prepared to apply these concepts to practical life scenarios.
2. This course will enhance their ability to deal with scenarios involving
quantitative reasoning skills in a logical manner which they can face in
their practical lives.
3. It will prepare students to deal with different forms of data occurring in
professional, social and natural sciences.
4. Students will be introduced to scenarios involving functions and
probability in different disciplines.
5. This course will prepare the students to apply the quantitative
reasoning skills in other
disciplines.
6. This course will provide solid foundation for students to use the
quantitative reasoning
skills in solving practical life problems.
Course Outcomes:
After completing this course successfully, students will be able to:
1. Strengthen their quantitative reasoning skills and apply to daily life
problems.
2. draw the inferences from the data given in numeric, graphs, tables and
functions
3. Strengthen their quantitative reasoning skills while making decisions.
4. apply the concepts of functions in social and economic issues and
formulate and solve
the problems.
5. understand the principal concepts of probability and its applications.
6. demonstrate the application of the learned principles of quantitative
reasoning skills in
different professional activities, social and natural sciences.
Resource 1. Bennett, J. & Briggs, W. (2015). Using and
Material
understanding mathematics (6th Edition). Pearson
Education, Limited
2. Blitzer, R. (2014). Precalculus. (5th Edition). Pearson
Education, Limited
3. Mathematical thinking and reasoning 2008 by
Aufmann, Lockwood, Nation & Clegg published by
Houghton Mifflin Company USA.
4. Precalculus Graphical, Numerical, Algebraic 8 th edition
by Franklin D. Demana, Bert K. Waits, Gregory D. Foley
& Daniel Kennedy published by Addison Wesley USA.
5. Precalculus Mathematics for Calculus, 6th edition by
James Stewart, Lothar Redlin and Saleem Watson
published by Brooks/Cole Cengage Learning USA.
GRE Math Review
https://www.ets.org/s/gre/pdf/gre_math_review.pdf
Office Help Hours Free hours in Time table
Course outlines
Constants, Variables, and parameters, Functions, domain, range, Types of
functions, Linear and non-linear function , Investigating relationships
between variables. Exploring tools to find relationship between variables,
Resources, and population growth: dealing with economic, environmental,
and social issues. Solving equations by graphs, substitutions and elimination
methods, Applications of graphical & analytical approaches to solve social &
economic problems. Linear and quadratic inequalities, Application of
inequalities. Ratio, proportion, Golden section ratio, Golden ratio in
sculptures, Comparison of statements and their use in social and economic
problems, Sequence, series, types of series. survival in the modern World,
Propositions and truth values, Categorical proposition, and its applications
Methods to explore and summarize data, drawing graphs and identifying
misleading graphs, Methods to discuss the basic characteristics of any
datasets, like finding a most representative value in a data, and methods to
measure the amount of spread of a data, Methods to measure degree of
relationship among variables, finally this module includes
Event, disjoint events, Probability, some basics of probability theory, mean,
mode, median, standard deviation, variance, methods to Count the odds.
permutations, combinations and their applications in daily life.
