SlideShare une entreprise Scribd logo
1  sur  2
Télécharger pour lire hors ligne
M098-002 – Introductory & Intermediate Algebra                                                                  Fall 2011
9:20 – 10:20 Monday – Friday                                     MathXL Course ID: XL0R-11Z5-401Y-4XS2
ASC 6, 7, 8 & COE 421/319                                       (Be careful to distinguish between the letter O and the number 0.)

                      Andrea Payne                        Chairsty Stewart                        Lance Mouser
Instructors:        Learning Lab Office                  Learning Lab Office                       Learning Lab
                  apayne@msubillings.edu             cstewart@msubillings.edu                lmouser@msubillings.edu
                                Miranda Schmitt                                   Wendy Weiland
                                   Learning Lab                                    Learning Lab
                      miranda.schmitt@msubillings.edu                       wweiland@msubillings.edu
Text &          Elementary and Intermediate Algebra 3e by Carson, Gillespie and Jordan REQUIRED
Materials:      MathXL Access Code REQUIRED
                Carson Videos: http://www.youtube.com/user/CarsonCombinedAlg#g/u
                Additional Resources available in D2L: http://www.msubillings.edu/elearning/D2LLogin.htm
Catalog        Prerequisite: Proficiency in basic mathematics.
Description:
               Covers basic algebra concepts including terminology, operations on rational numbers,
               solving and graphing linear equations and inequalities in one and two variables,
               determining equations of lines, polynomial and function operations, operations on
               exponential and radical expressions, factoring, solving rational, absolute value, radical
               and systems of equations, solving and graphing quadratic equations.
               This is a modularized course based on mastery learning in which students earn credit for each
               module (A - E) by examination.

               Credits do not apply toward graduation requirements and do not fulfill General Education
               requirements. However, the credits do count towards enrollment status for financial aid.

Student                         MODULE A                                                 MODULE C
Learning         Perform arithmetic operations with real               Factor polynomial expressions
Outcomes:         numbers                                               Simplify rational expressions
                 Simplify linear expressions                           Solve rational equations
                 Set up and solve application problems using           Solve a system of two equations with two
                  ratios and proportions                                 unknowns
                 Solve linear equations in one variable
                 Solve and graph linear inequalities in one
                  variable
                 Solve absolute value equations
                                MODULE B                                                  MODULE D
                 Graph linear equations and inequalities in          Simplify radical expressions
                  two variables                                       Use the rules of exponents with rational
                 Determine the equation of a line                     exponents
                 Determine the equation of a parallel/               Solve radical equations
                  perpendicular line                                  Simplify complex number expressions
                 Recognize functions and state the domain            Solve quadratic equations
                  and range                                           Graph quadratic functions
                 Evaluate and perform operations on                  Solve a formula for a variable
                  functions
                 Use the rules of exponents with integer                                 MODULE E
                  exponents                                           Comprehensive final exam
                 Simplify polynomial expressions
Attendance     While no grade is given specifically for attendance, written assignments missed due to absences cannot
Policy:        be made up. 10% of each module grade is based on in-class activities.
Calculators:   CALCULATORS ARE NOT ALLOWED IN MODULE A! They may be used in other modules but are not
               required. Cell phone calculators are not allowed on exams.
                                                                                                               Page 1 of 2
Cell Phone      NO TEXTING IN CLASS. We want students to be successful in this course and if they are focusing
Etiquette:      on other things, it is difficult to learn. Please respect the learning process by silencing all electronic
                devices during class.
Course          The semester is divided into a Review & Assessment period and four time blocks of 15 days each. The
Design:         course content is divided into 5 modules.
                 Time blocks:                                                         Modules:
                    Review & Assessment (4 days): September 7 –                          Module A:       Chapters 1, 2, 3
                       September 12                                                      Module B:       Chapters 4, 5, 8
                    Block 1 (15 days): September 13 – October 3                          Module C:       Chapters 6, 7, 9
                    Block 2 (16 days): October 4 – October 24                            Module D:       Chapters 10, 11
                    Block 3 (15 days): October 25 – November 15                          Module E:       Comprehensive Final Exam
                    Block 4 (15 days): November 16 – December 9
                REVIEW & ASSESSMENT BLOCK: Students have 4 days (plus the weekend) to review and refresh skills
                using MathXL’s Pretests and Personalized Practice features.

                   All students begin with the Module A Pretest Part 1; 80% mastery required. Students are
                    encouraged to master as many pretests as possible during the Review Block.
                   Refresher sessions are offered by instructors.
                   Review period ends Monday, September 12 at 2:00.
                   Credit for a module can be earned during the Review & Assessment Block by successfully
                    completing all parts of a module pretest.
                   If a module pretest consists of more than one part, the module grade will be based on the average
                    of the pretest scores.
                   “Testing out” of a module can only be done during the Review & Assessment Block.
                MODULES: At the end of the Review Period, students will be assigned to the appropriate module.

                   A score of 100% is required on all MathXL homework assignments. All MathXL homework has the
                    completion of the previous section as a prerequisite.
                   There will be quizzes after every 3 or 4 sections with 80% mastery required and a limit of 2
                    attempts.
                   The Module Exam may only be taken if ALL module assignments are completed by the due date.
                    A minimum score of 80% is required on the paper/pencil exam administered at the end of each
                    module; therefore, a module exam score below 80% is recorded as a 0 grade.
                   At the end of the Module time block, those students who have successfully completed their
                    module’s requirements move to the next module. The other students reschedule into the same
                    module; all assignments begin again.
Assessment      Students receive 1 credit for each module mastered. Module grades are determined as follows:
& Module        REVIEW BLOCK:
                     When testing out of a module, pretest scores determine module grade. (Minimum score 80%)
Grades          Modules A – D:
                     Module exam (Minimum score 80%): 90% of module grade
                     In-class assignments: 10% of module grade
                Module E:
                     The final exam grade determines the grade. (Minimum score 70%)
Grading          A:      93 – 100%            B-:      80 – 82%             D+:      68 – 69%
Scale:           A-:     90 – 92%             C+:      78 – 79%             D:       63 – 67%
                 B+:     88 – 89%             C:       73 – 77%             D-:      60 – 62%
                 B:      83 – 87%             C-:      70 – 72%             F:       Below 60%
                    ** University policy dictates that a grade of C- or better must be achieved to register for subsequent math courses.**

Students        MSU Billings is committed to providing equal access. If you anticipate barriers related to the format or
with            requirements of this course, please meet with me so that we can discuss ways to ensure your full
                participation in the course. If you determine that disability-related accommodations are necessary,
Disabilities:   please contact Disability Support Services (657-2283; located in the Academic Support Center). We can
                then plan how best to coordinate your accommodations.


                                                                                                                           Page 2 of 2

Contenu connexe

Tendances

NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018
NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018
NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018A Jorge Garcia
 
Datasheet NROC Algebra 1: An Open Course
Datasheet  NROC Algebra 1:  An Open CourseDatasheet  NROC Algebra 1:  An Open Course
Datasheet NROC Algebra 1: An Open CourseRuth Romi
 
SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION
SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION
SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION A Jorge Garcia
 
First grade-module
First grade-moduleFirst grade-module
First grade-modulevaldezivy
 
The Experience Of Under Graduate Students with Literal Symbols
The Experience Of Under Graduate Students with Literal SymbolsThe Experience Of Under Graduate Students with Literal Symbols
The Experience Of Under Graduate Students with Literal Symbolsiosrjce
 
1 final scheme & syllabus ist & 2nd semester for the academic session 2014-15
1 final scheme & syllabus  ist & 2nd semester for the academic session 2014-151 final scheme & syllabus  ist & 2nd semester for the academic session 2014-15
1 final scheme & syllabus ist & 2nd semester for the academic session 2014-15Mudit Garg
 
logic gates
  logic gates  logic gates
logic gatessaleh107
 
950 Sukatan Pelajaran Matematik (M) STPM (Baharu)
950 Sukatan Pelajaran Matematik (M) STPM (Baharu)950 Sukatan Pelajaran Matematik (M) STPM (Baharu)
950 Sukatan Pelajaran Matematik (M) STPM (Baharu)RAMLAH BINTI A. RANI
 
Outcome based teaching learning plan in problem solving
Outcome based teaching learning plan in problem solvingOutcome based teaching learning plan in problem solving
Outcome based teaching learning plan in problem solvingElton John Embodo
 
Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...
Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...
Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...FahadOdin
 
Getting Down to the Nitty Gritty of Data: Becoming A Data-Driven District
Getting Down to the Nitty Gritty of Data: Becoming A Data-Driven DistrictGetting Down to the Nitty Gritty of Data: Becoming A Data-Driven District
Getting Down to the Nitty Gritty of Data: Becoming A Data-Driven Districtohedconnectforsuccess
 
Maths Workshop Class 9 & 10
Maths Workshop Class 9 & 10 Maths Workshop Class 9 & 10
Maths Workshop Class 9 & 10 Bhavesh Desai
 
Task 4 PPM - Group 4 - Presenting Information
Task 4 PPM - Group 4 - Presenting InformationTask 4 PPM - Group 4 - Presenting Information
Task 4 PPM - Group 4 - Presenting Informationouronlinemeetings
 

Tendances (14)

NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018
NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018
NEW MAT225 Multivariable Calculus Syllabus NCC SII 2018
 
Datasheet NROC Algebra 1: An Open Course
Datasheet  NROC Algebra 1:  An Open CourseDatasheet  NROC Algebra 1:  An Open Course
Datasheet NROC Algebra 1: An Open Course
 
SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION
SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION
SYLLABUS: MAT225 MULTIVARIABEL CALCULUS WITH HARVARD TEXT 6th EDITION
 
First grade-module
First grade-moduleFirst grade-module
First grade-module
 
The Experience Of Under Graduate Students with Literal Symbols
The Experience Of Under Graduate Students with Literal SymbolsThe Experience Of Under Graduate Students with Literal Symbols
The Experience Of Under Graduate Students with Literal Symbols
 
1 final scheme & syllabus ist & 2nd semester for the academic session 2014-15
1 final scheme & syllabus  ist & 2nd semester for the academic session 2014-151 final scheme & syllabus  ist & 2nd semester for the academic session 2014-15
1 final scheme & syllabus ist & 2nd semester for the academic session 2014-15
 
logic gates
  logic gates  logic gates
logic gates
 
950 Sukatan Pelajaran Matematik (M) STPM (Baharu)
950 Sukatan Pelajaran Matematik (M) STPM (Baharu)950 Sukatan Pelajaran Matematik (M) STPM (Baharu)
950 Sukatan Pelajaran Matematik (M) STPM (Baharu)
 
Outcome based teaching learning plan in problem solving
Outcome based teaching learning plan in problem solvingOutcome based teaching learning plan in problem solving
Outcome based teaching learning plan in problem solving
 
Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...
Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...
Math10 q2 mod3of8_theorems on chords, arcs, central angles and inscribed angl...
 
Getting Down to the Nitty Gritty of Data: Becoming A Data-Driven District
Getting Down to the Nitty Gritty of Data: Becoming A Data-Driven DistrictGetting Down to the Nitty Gritty of Data: Becoming A Data-Driven District
Getting Down to the Nitty Gritty of Data: Becoming A Data-Driven District
 
INSET G7Math
INSET G7MathINSET G7Math
INSET G7Math
 
Maths Workshop Class 9 & 10
Maths Workshop Class 9 & 10 Maths Workshop Class 9 & 10
Maths Workshop Class 9 & 10
 
Task 4 PPM - Group 4 - Presenting Information
Task 4 PPM - Group 4 - Presenting InformationTask 4 PPM - Group 4 - Presenting Information
Task 4 PPM - Group 4 - Presenting Information
 

En vedette (6)

Lola
LolaLola
Lola
 
Eu vh llmg
Eu vh llmgEu vh llmg
Eu vh llmg
 
Note card 5
Note card 5Note card 5
Note card 5
 
21 03-55
21 03-5521 03-55
21 03-55
 
Josu00
Josu00Josu00
Josu00
 
Ccph june 2016 bcc presentation
Ccph june 2016 bcc presentationCcph june 2016 bcc presentation
Ccph june 2016 bcc presentation
 

Similaire à M098 Syllabus Fall 2011

Mat120 syllabus
Mat120 syllabusMat120 syllabus
Mat120 syllabuschellc14
 
Robotics Syllabus 2016 2017
Robotics Syllabus 2016 2017Robotics Syllabus 2016 2017
Robotics Syllabus 2016 2017Justin Joslin
 
NADE 2013 - Math Redesign What Works for Us
NADE 2013 - Math Redesign What Works for UsNADE 2013 - Math Redesign What Works for Us
NADE 2013 - Math Redesign What Works for Uschairsty
 
Web quest
Web questWeb quest
Web questcdg24
 
Web quest
Web questWeb quest
Web questcdg24
 
1 Saint Leo University GBA 334 Applied Decision.docx
 1 Saint Leo University  GBA 334  Applied Decision.docx 1 Saint Leo University  GBA 334  Applied Decision.docx
1 Saint Leo University GBA 334 Applied Decision.docxaryan532920
 
Syllabus welcome
Syllabus welcomeSyllabus welcome
Syllabus welcomekmkurek
 
CMSC198 summer2012 syllabus
CMSC198 summer2012 syllabusCMSC198 summer2012 syllabus
CMSC198 summer2012 syllabusAkilah Jackson
 
MATH 1581 Syllabus - Spring 2011
MATH 1581 Syllabus - Spring 2011MATH 1581 Syllabus - Spring 2011
MATH 1581 Syllabus - Spring 2011UCAN at UNT
 
B.ed. 4th sem computational literacy
B.ed. 4th sem computational literacyB.ed. 4th sem computational literacy
B.ed. 4th sem computational literacyDammar Singh Saud
 
B.ed. 4th sem computational literacy
B.ed. 4th sem computational literacyB.ed. 4th sem computational literacy
B.ed. 4th sem computational literacyDammar Singh Saud
 
OBE_ICE2151 Discrete Mathematics.docx
OBE_ICE2151 Discrete Mathematics.docxOBE_ICE2151 Discrete Mathematics.docx
OBE_ICE2151 Discrete Mathematics.docxSubrata Kumer Paul
 
Syllabus-ET2566-Master´s Thesis
Syllabus-ET2566-Master´s ThesisSyllabus-ET2566-Master´s Thesis
Syllabus-ET2566-Master´s ThesisMain Uddin-Al-Hasan
 
Assignments .30%
Assignments .30%Assignments .30%
Assignments .30%butest
 
Se252 Exam Prep
Se252 Exam PrepSe252 Exam Prep
Se252 Exam Prepguestebed4
 
Algebra for Beginners - Course Gate
Algebra for Beginners - Course GateAlgebra for Beginners - Course Gate
Algebra for Beginners - Course GateCourse Gate
 
course plan calculus-.docx
course plan calculus-.docxcourse plan calculus-.docx
course plan calculus-.docxEliana430617
 
Outcomes based teaching learning plan (obtlp)- differential equation
Outcomes based teaching learning plan (obtlp)- differential equationOutcomes based teaching learning plan (obtlp)- differential equation
Outcomes based teaching learning plan (obtlp)- differential equationElton John Embodo
 

Similaire à M098 Syllabus Fall 2011 (20)

Mat120 syllabus
Mat120 syllabusMat120 syllabus
Mat120 syllabus
 
Robotics Syllabus 2016 2017
Robotics Syllabus 2016 2017Robotics Syllabus 2016 2017
Robotics Syllabus 2016 2017
 
NADE 2013 - Math Redesign What Works for Us
NADE 2013 - Math Redesign What Works for UsNADE 2013 - Math Redesign What Works for Us
NADE 2013 - Math Redesign What Works for Us
 
Web quest
Web questWeb quest
Web quest
 
Web quest
Web questWeb quest
Web quest
 
1 Saint Leo University GBA 334 Applied Decision.docx
 1 Saint Leo University  GBA 334  Applied Decision.docx 1 Saint Leo University  GBA 334  Applied Decision.docx
1 Saint Leo University GBA 334 Applied Decision.docx
 
Syllabus welcome
Syllabus welcomeSyllabus welcome
Syllabus welcome
 
Jeyasimman
JeyasimmanJeyasimman
Jeyasimman
 
CMSC198 summer2012 syllabus
CMSC198 summer2012 syllabusCMSC198 summer2012 syllabus
CMSC198 summer2012 syllabus
 
MATH 1581 Syllabus - Spring 2011
MATH 1581 Syllabus - Spring 2011MATH 1581 Syllabus - Spring 2011
MATH 1581 Syllabus - Spring 2011
 
B.ed. 4th sem computational literacy
B.ed. 4th sem computational literacyB.ed. 4th sem computational literacy
B.ed. 4th sem computational literacy
 
B.ed. 4th sem computational literacy
B.ed. 4th sem computational literacyB.ed. 4th sem computational literacy
B.ed. 4th sem computational literacy
 
OBE_ICE2151 Discrete Mathematics.docx
OBE_ICE2151 Discrete Mathematics.docxOBE_ICE2151 Discrete Mathematics.docx
OBE_ICE2151 Discrete Mathematics.docx
 
Syllabus-ET2566-Master´s Thesis
Syllabus-ET2566-Master´s ThesisSyllabus-ET2566-Master´s Thesis
Syllabus-ET2566-Master´s Thesis
 
Assignments .30%
Assignments .30%Assignments .30%
Assignments .30%
 
plc learn
plc learnplc learn
plc learn
 
Se252 Exam Prep
Se252 Exam PrepSe252 Exam Prep
Se252 Exam Prep
 
Algebra for Beginners - Course Gate
Algebra for Beginners - Course GateAlgebra for Beginners - Course Gate
Algebra for Beginners - Course Gate
 
course plan calculus-.docx
course plan calculus-.docxcourse plan calculus-.docx
course plan calculus-.docx
 
Outcomes based teaching learning plan (obtlp)- differential equation
Outcomes based teaching learning plan (obtlp)- differential equationOutcomes based teaching learning plan (obtlp)- differential equation
Outcomes based teaching learning plan (obtlp)- differential equation
 

Plus de chairsty

Module a homework carson 3e
Module a homework carson 3eModule a homework carson 3e
Module a homework carson 3echairsty
 
Pearson white paper
Pearson white paperPearson white paper
Pearson white paperchairsty
 
M098 outcomes and assessment matrix
M098 outcomes and assessment matrixM098 outcomes and assessment matrix
M098 outcomes and assessment matrixchairsty
 
0 overview of our redesign
0   overview of our redesign0   overview of our redesign
0 overview of our redesignchairsty
 
Adults writing in developmental mathematics
Adults writing in developmental mathematicsAdults writing in developmental mathematics
Adults writing in developmental mathematicschairsty
 
Free 'n Easy: Incorporating Web 2.0 without a Budget
Free 'n Easy: Incorporating Web 2.0 without a BudgetFree 'n Easy: Incorporating Web 2.0 without a Budget
Free 'n Easy: Incorporating Web 2.0 without a Budgetchairsty
 
NADE 2010 Elluminating The Road
NADE 2010 Elluminating The RoadNADE 2010 Elluminating The Road
NADE 2010 Elluminating The Roadchairsty
 

Plus de chairsty (7)

Module a homework carson 3e
Module a homework carson 3eModule a homework carson 3e
Module a homework carson 3e
 
Pearson white paper
Pearson white paperPearson white paper
Pearson white paper
 
M098 outcomes and assessment matrix
M098 outcomes and assessment matrixM098 outcomes and assessment matrix
M098 outcomes and assessment matrix
 
0 overview of our redesign
0   overview of our redesign0   overview of our redesign
0 overview of our redesign
 
Adults writing in developmental mathematics
Adults writing in developmental mathematicsAdults writing in developmental mathematics
Adults writing in developmental mathematics
 
Free 'n Easy: Incorporating Web 2.0 without a Budget
Free 'n Easy: Incorporating Web 2.0 without a BudgetFree 'n Easy: Incorporating Web 2.0 without a Budget
Free 'n Easy: Incorporating Web 2.0 without a Budget
 
NADE 2010 Elluminating The Road
NADE 2010 Elluminating The RoadNADE 2010 Elluminating The Road
NADE 2010 Elluminating The Road
 

Dernier

Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 

Dernier (20)

Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 

M098 Syllabus Fall 2011

  • 1. M098-002 – Introductory & Intermediate Algebra Fall 2011 9:20 – 10:20 Monday – Friday MathXL Course ID: XL0R-11Z5-401Y-4XS2 ASC 6, 7, 8 & COE 421/319 (Be careful to distinguish between the letter O and the number 0.) Andrea Payne Chairsty Stewart Lance Mouser Instructors: Learning Lab Office Learning Lab Office Learning Lab apayne@msubillings.edu cstewart@msubillings.edu lmouser@msubillings.edu Miranda Schmitt Wendy Weiland Learning Lab Learning Lab miranda.schmitt@msubillings.edu wweiland@msubillings.edu Text &  Elementary and Intermediate Algebra 3e by Carson, Gillespie and Jordan REQUIRED Materials:  MathXL Access Code REQUIRED  Carson Videos: http://www.youtube.com/user/CarsonCombinedAlg#g/u  Additional Resources available in D2L: http://www.msubillings.edu/elearning/D2LLogin.htm Catalog Prerequisite: Proficiency in basic mathematics. Description: Covers basic algebra concepts including terminology, operations on rational numbers, solving and graphing linear equations and inequalities in one and two variables, determining equations of lines, polynomial and function operations, operations on exponential and radical expressions, factoring, solving rational, absolute value, radical and systems of equations, solving and graphing quadratic equations. This is a modularized course based on mastery learning in which students earn credit for each module (A - E) by examination. Credits do not apply toward graduation requirements and do not fulfill General Education requirements. However, the credits do count towards enrollment status for financial aid. Student MODULE A MODULE C Learning  Perform arithmetic operations with real  Factor polynomial expressions Outcomes: numbers  Simplify rational expressions  Simplify linear expressions  Solve rational equations  Set up and solve application problems using  Solve a system of two equations with two ratios and proportions unknowns  Solve linear equations in one variable  Solve and graph linear inequalities in one variable  Solve absolute value equations MODULE B MODULE D  Graph linear equations and inequalities in  Simplify radical expressions two variables  Use the rules of exponents with rational  Determine the equation of a line exponents  Determine the equation of a parallel/  Solve radical equations perpendicular line  Simplify complex number expressions  Recognize functions and state the domain  Solve quadratic equations and range  Graph quadratic functions  Evaluate and perform operations on  Solve a formula for a variable functions  Use the rules of exponents with integer MODULE E exponents  Comprehensive final exam  Simplify polynomial expressions Attendance While no grade is given specifically for attendance, written assignments missed due to absences cannot Policy: be made up. 10% of each module grade is based on in-class activities. Calculators: CALCULATORS ARE NOT ALLOWED IN MODULE A! They may be used in other modules but are not required. Cell phone calculators are not allowed on exams. Page 1 of 2
  • 2. Cell Phone NO TEXTING IN CLASS. We want students to be successful in this course and if they are focusing Etiquette: on other things, it is difficult to learn. Please respect the learning process by silencing all electronic devices during class. Course The semester is divided into a Review & Assessment period and four time blocks of 15 days each. The Design: course content is divided into 5 modules. Time blocks: Modules: Review & Assessment (4 days): September 7 – Module A: Chapters 1, 2, 3 September 12 Module B: Chapters 4, 5, 8 Block 1 (15 days): September 13 – October 3 Module C: Chapters 6, 7, 9 Block 2 (16 days): October 4 – October 24 Module D: Chapters 10, 11 Block 3 (15 days): October 25 – November 15 Module E: Comprehensive Final Exam Block 4 (15 days): November 16 – December 9 REVIEW & ASSESSMENT BLOCK: Students have 4 days (plus the weekend) to review and refresh skills using MathXL’s Pretests and Personalized Practice features.  All students begin with the Module A Pretest Part 1; 80% mastery required. Students are encouraged to master as many pretests as possible during the Review Block.  Refresher sessions are offered by instructors.  Review period ends Monday, September 12 at 2:00.  Credit for a module can be earned during the Review & Assessment Block by successfully completing all parts of a module pretest.  If a module pretest consists of more than one part, the module grade will be based on the average of the pretest scores.  “Testing out” of a module can only be done during the Review & Assessment Block. MODULES: At the end of the Review Period, students will be assigned to the appropriate module.  A score of 100% is required on all MathXL homework assignments. All MathXL homework has the completion of the previous section as a prerequisite.  There will be quizzes after every 3 or 4 sections with 80% mastery required and a limit of 2 attempts.  The Module Exam may only be taken if ALL module assignments are completed by the due date. A minimum score of 80% is required on the paper/pencil exam administered at the end of each module; therefore, a module exam score below 80% is recorded as a 0 grade.  At the end of the Module time block, those students who have successfully completed their module’s requirements move to the next module. The other students reschedule into the same module; all assignments begin again. Assessment Students receive 1 credit for each module mastered. Module grades are determined as follows: & Module REVIEW BLOCK:  When testing out of a module, pretest scores determine module grade. (Minimum score 80%) Grades Modules A – D:  Module exam (Minimum score 80%): 90% of module grade  In-class assignments: 10% of module grade Module E:  The final exam grade determines the grade. (Minimum score 70%) Grading A: 93 – 100% B-: 80 – 82% D+: 68 – 69% Scale: A-: 90 – 92% C+: 78 – 79% D: 63 – 67% B+: 88 – 89% C: 73 – 77% D-: 60 – 62% B: 83 – 87% C-: 70 – 72% F: Below 60% ** University policy dictates that a grade of C- or better must be achieved to register for subsequent math courses.** Students MSU Billings is committed to providing equal access. If you anticipate barriers related to the format or with requirements of this course, please meet with me so that we can discuss ways to ensure your full participation in the course. If you determine that disability-related accommodations are necessary, Disabilities: please contact Disability Support Services (657-2283; located in the Academic Support Center). We can then plan how best to coordinate your accommodations. Page 2 of 2