Meets: 9:00 - 9:50 MF , 8:25 - 9:15 TT (Problem session 9:00 W) Room: Madeleva 211B
Instructor: Charles Peltier
Office: Mad 332 Phone 4498(H:232-4951) email cpeltier@saintmarys.edu
Office Hrs:M 10 - 11 T 11 - 12 W 10-11 TH 2 - 3 F 10 - 11or see/call /email me to make an appointment
Text:
Bittinger, Brand, Quintanilla, Calculus for the Life Sciences, Pearson, Boston, 2006..
Peltier, Introductory Statistics Handbook for Math 116, Saint Mary's College, 2003.
Materials:
A calculator with capability for square root, logarithm, and exponential and one-variable & two-variable statistics (mean, standard deviation, correlation & regression) is essential; data storage and built-in formula capabilities of the graphing calculators (TI-8x, Casio fx-7700) are highly desirable. There is an on-line reference for statistical calcualation with popular graphing calculators
We will be using the Minitab statistics program on the campus network. There is an on-line Minitab manual.
Topics:
Calculus Bittinger, Brand, Quintanilla Chaps 5, 8(.1-.5), and some additional notes
Antiderivatives, definite integral, properties, fundamental theorem of calculus, calculation methods (substitution, parts, tables, numerical approximation)Statistics: [Statistics Handbook, on-line Minitab manual]
(Descriptive): Description of data - grouping, tables, measures of central location and of variation. Correlation and regression. Discrete and continuous random variables - binomial, poisson, normal.
(Inferential): Estimation and hypothesis testing on means, variances, proportions, differences of means (independent samples) and mean difference (paired data)
Use of MINITAB computer package
Applications to the life sciences will be emphasized throughout the course.
Significant non-mathematical contents of the course include explicit awareness of learning and problem-solving skills, the development of independent learning skills, and working in project groups. We will use cooperative group learning, discovery learning, applied critical thinking, problem solving, and regular self assessment.
Attendance
Since you will often be working with your group in class, it is essential that you attend every meeting of the class to fulfill your role in the group. Tests, quizzes, or activities missed because of absence will result in a grade of 0 unless the absence is excused (via Academic Affairs office). In any case, you are responsible for material covered in any class meeting and for handing in work on time.Assignments
You should expect to be working about 6 - 8 hours per week outside of class time on this course. Regular assignments will be given on a daily basis; you are responsible for remaining current, and for asking questions when they arise. Written assignments will be collected on Thursday, and will be corrected and returned within one week for your studying. You are encouraged to work and study together, but each of you is responsible for her own work and understanding. The list of assignments will be available through the Blackboard site.Learning teams and in-class activities
Each student will be a member of a three – to – five member learning team. These teams are encouraged (but not required) to meet and work together outside of class. There will be a number of in-class learning activities (about one a week) to be carried out in your learning teams. There are several specific roles [see the document “Team Roles and Performance Criteria”] to be filled in performing this activity, and the team will present a report and written work at the end of the activity. At the end of the activity, the team will hand in a report containing (at least)*The reflector's report must include:
- table of contents
- recorders report (including any written work products)
- reflector's report * [see below]
- Team's grade (0.0-5.0) for their teamwork on the activity [based on on paricipation of all team members in the work, success in completing the exercises, and quality of the reports]
I will also assign a grade (0.0 – 5.0) based on the your work (as observed during class) and your report (including the reasonableness of your grade). The team's grade ( 0 – 10) will be the sum of these.
- Role, strength and area for improvement of each team member
- Greatest strength and an area for improvement of the team as a whole [as shown in this work].
Grades will be based on:
Item Percentage Four in-class tests Cumulative final examination Homework In-class activities (team) Data analysis project (individual) The grading scale is based on: 60% < D < 70% < C < 80% < B < 90% < A, with + and - grades occupying the top and bottom 2% of the ranges (No A+ or D- grades).
Test dates:2/7, 2/28, 4/4, 4/25 Final exam Thurs 5/7 8am
Academic Honesty Policy
Read the statement on Academic Honesty in the Student Handbook (includes procedures, appeal policies etc. – you really should read it enough to know what’s there). In this course academic dishonesty will result in a grade of 0 for the work involved, and notification of the Academic Affairs and First Year Studies Office. A second occurrence will result in failure for the course, with notice to Academic Affairs. On tests, no assistance (including other people, books, notes, etc.) is permitted. You should work together and/or seek help from the instructor on regular assignments, but each student must hand in her own work and is responsible for her own understanding. Copying of results is never acceptable. For more information, see the Math Department Honesty Policy (at http://www3.saintmarys.edu/departments/mathematics-computer-science/department-policies/guidelines-academic-honesty)
Disabilities policy
Any student who is eligible for accommodations to complete the requirements and expectations of this course because of a disability is invited to make her needs known to the instructor and should also contact Iris Giamo, in the Disability Resource Office (x4262) or e-mail igiamo@saintmarys.edu for an appointment to review documentation and arrange for appropriate and legal accommodations. Students who suspect they may have a disability are also encouraged to contact the Disabilities Resource Office.
Anticipated Topic outline
| Week | Text sections | Topic |
| 1 | 1.1 - 5.1 | Review of topics from first semester |
| 2 | 7.2-7.3 | Substitution, the Definite integral |
| 3 | 7.4-7.6 | Fundamental theorem of Calculus, calculation, trig functions, area |
| 4 | 7.6,8.1 | Area Between curves T1(7.1-7.6) Numerical Integration |
| 5 | 8.1-8.3 | Numerical integration, Integration by parts, Applications |
| 6 | 8.3, 11.1(&handout) | Applications, Differential equations and growth models |
| 7 | 11.3, Ch0 | Euler's approximation method T2(8.2-11.2), begin statistics |
| 8 | Ch 0-1 | Basic ideas of statistics, descriptive statistics (1& 2 variable) |
| 9 | Ch 2 | Basic probability |
| 10 | Ch 3 | Discrete random variables - binomial, poisson families |
| 11 | Ch 4 | Continuous random variables, the normal distribution T3 (ch0-4) |
| 12 | Ch 5 , 6 | Distribution of sample means, estimation (t-dist) |
| 13 | Ch 7 | Hyppothesis tests on a population mean |
| 14 | Ch 8 | Inference on a proportion, T4 (ch5-8) |
| 15 | Ch 9, 10 | Inference on difference of means (paired data, independent samples) |
Last updated 1/8/2013