KEAS Classes
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KEAS Program

Spring 2018 Class Schedule

Class Section # Instructor Time
English 84 6122 Corbin, Susan Tues & Thurs: 11:30 a.m. - 1:35 p.m.
English B 6176 Peppard, Bruce Tues & Thurs: 10:15 a.m. - 12:20 p.m.
English A 6264  Jalloh, Katrina Mon & Wed: 1:00 - 3:05 p.m
English 1A 6363 Page, Chris Mon & Wed: 10:15 a.m. - 12:20 p.m.
English 1A 6426 Sandor, Jane Tues & Thurs: 2:00 - 4:05 p.m.
       
Math 23 0202 Forbes, Junko Mon & Wed: 11:30 a.m. - 1:35 p.m.
Math 40 0274 Greg, Scott Mon, Wed & Fri: 10:00 - 11:15 a.m. 
Math 67 0352 Kjeseth, Lars Mon, Tues, Wed & Thurs: 9:45 - 11:10 a.m. 
Math 80 0512 Ronald, Martinez  Tues & Thurs: 2:15 - 4:45 p.m.
Math 150 0713 Forbes, Junko Tues & Thurs: 2:00 - 4:05 p.m 

 

KEAS English Classes

English 84 - Developmental Reading and Writing

Section #: 6122
Corbin, Susan
Tuesday & Thursday: 11:30 a.m. - 1:35 p.m.
This course introduces students to the processes of creating, developing, and revising paragraphs and short essays based on personal experiences, observations, and reactions to short reading selections. Students learn basic rules of grammar, mechanics, and usage. Students practice a variety of sentence types and paragraph structures. Students revise their writing with the assistance of weekly one–on–one tutorials.

 

English B - Introduction to College Writing

Section #: 6176
Peppard, Bruce
Tuesday & Thursday: 10:15 a.m. - 12:20 p.m.
This course introduces students to the processes of creating, developing, and revising paragraphs and a short essay based on personal experiences, observations, and reactions to short reading selections. Students learn basic rules of grammar, mechanics, and usage. Students practice a variety of sentence types and paragraph structures. Students revise their writing with the assistance of weekly one-on-one tutorials.

 

English A - Writing the College Essay

Section #: 6264
Jalloh, Katrina
Monday & Wednesday: 1:00 - 3:05 p.m. 
This course is designed to strengthen college–level writing skills. Students will read and analyze articles and essays and will practice writing coherent, well–developed expository essays. Students will revise their writing using peer review and weekly one–on-one tutorials. Students will review functional grammar and sentence skills and be introduced to techniques of research and documentation.

 

English 1A - Reading and Composition

Section #: 6363
Page, Chris
Monday & Wednesday: 10:15 a.m. - 12:20 p.m.
Section #: 6426
Sandor, Jane
Tuesday & Thursday: 2:00 - 4:05 p.m.
This course is designed to strengthen the students’ ability to read with understanding and discernment, to discuss assigned readings intelligently, and to write clearly. Emphasis will be placed on the ability to write an essay in which each paragraph relates to a controlling idea, has an introduction and conclusion, and contains primary and secondary support. College-level reading material will be assigned to provide the stimulus for class discussion and writing assignments, including a required research paper.  

 

KEAS Math Classes

Math 23 - Pre-Algebra

Section #: 0202
Forbes, Junko
 Monday & Wednesday: 11:30 a.m. - 1:35 p.m.
This course bridges the gap between arithmetic and formal algebra, developing number sense and operation sense, in order to formulate and solve algebraic equations with integers, fractions and percent’s. Algebraic principles are applied to problems from a variety of fields. Other topics include: proportional reasoning, spatial reasoning, informal geometry and measurement, coordinate graphing, informational graphs, and data collection and description.

 

Math 40 - Elementary Algebra

Section #: 0274
Greg, Scott
 Monday, Wednesday & Friday: 10:00 - 11:15 a.m.
This course in elementary algebra includes the study of real number solutions and applications of linear equations, quadratic equations, linear inequalities, and systems of linear equations. Other topics include coordinate graphing or linear equations, factoring techniques, and simplification of rational and radical expressionsNote: Mathematics 40 is equivalent to one year of high school algebra.

 

Math 67 - General Education Algebra

Section #: 0352
Kjeseth, Lars
Monday, Tuesday, Wednesday & Thursday: 9:45 - 11:10 a.m.
Using data and real-world applications, students in this accelerated course reinforce their numeracy skills and learn algebra and other quantitative reasoning skills needed for transfer-level general education mathematics courses.Note: Mathematics 67 is intended for students who place at the elementary algebra level. Mathematics 67 is a prerequisite course only for Mathematics 110, 111, 115, 120, 140, and 150. Mathematics, computer science, science, engineering, and business students should not take Mathematics 67. These students should be directed to Mathematics 80.

 

Math 80 - Intermediate Algebra for Science, Technology, Engineering, and Mathematics

Section #: 0512
Martinez, Ronald
Tuesday & Thursday: 2:15 - 4:45 p.m.
 This intermediate algebra course is designed for students who are considering further study in the sciences, technology, engineering, or mathematics. In the context of studying a large library of basic functions and their graphs, students strengthen and expand their algebra skills. The library includes linear, quadratic, polynomial, rational, radical, exponential, and logarithmic functions, as well as inverse functions and the absolute value function. Particular emphasis is placed on the operations on functions, as well as solving equations and inequalities. Other topics include solving systems of equations, operations on complex numbers, and applications. 

 

Math 150 - Elementary Probability and Statistics

Section #: 0713
Forbes, Junko
 Tuesday & Thursday: 2:00 - 4:05 p.m.
The focus of this course is the basic practice of statistics, including descriptive statistics, inferential statistics, and the role probability plays in statistical analysis. Students calculate and interpret various descriptive statistics using graphing calculators with statistical testing capabilities and statistical software, as well as by hand. Major topics include methods of data collection and simulation; measures of central tendency, variability, and relative position; graphical summaries of data; linear regression and correlation; distributions, including normal and binomial distributions; probability theory; and inferential statistical methods. Students choose, justify, use, and interpret the results of inferential techniques, such as confidence intervals, hypothesis tests, goodness of fit, analysis of variance, and nonparametric tests.