Course SyllabusDepartment of Mathematics and Computer Science
Introduction to Systems Thinking (STELLA)
***To be provided for each section***
COURSE GOALS- STUDENT LEARNER OUTCOMES
This course will introduce the student to the currently available mathematical and statistical software on personal computers in particular, and mainframes in general. Hands-on activities with software items will form a major part of the course. The student will be trained not only to use the software items, but also interpret the results meaningfully as related to specific applications situations. The course is designed primarily for students interested in scientific and statistical computing and analysis. Report writing will be required on all projects.PREREQUISITE CSC-159 (Programming II) and MAT-107 (Finite Math)
The student should
TENTATIVE SCHEDULE OF WEEKLY ASSIGNMENTS
This is a lab-based course. Students will be required to propose, build and simulate models of relevant real-world problems (tentatively based on the student's major). One agent-based model (using AgentSheets 2.2) and one continuous model (using STELLA) will be built by each student. For the final project, the student will be allowed to choose which simulation software is appropriate for whatever models the student proposes.COURSE ASSESSMENT- LEARNING OPPORTUNITIES*
GRADING STANDARDS- ASSESSMENT TOOLS
Grades will be assigned on the basis of attendance and participation in class discussions, and the quality of the programming projects assigned. The distribution will be as follows:
The grading scale guideline: **
Lincoln University uses the class method of teaching, which assumes that each student has something to contribute and something to gain by attending class. It further assumes that there is much more instruction absorbed in the classroom than can be tested on examinations. Therefore, students are expected to attend all regularly scheduled class meetings and should exhibit good faith in this regard. For the control of absences, the faculty adopted the following regulations:
Students are responsible for proper conduct and integrity in all of their scholastic work. They must follow a professor's instructions when completing tests, homework, and laboratory reports, and must ask for clarification if the instructions are not clear. In general, students should not give or receive aid when taking exams, or exceed the time limitations specified by the professor. In seeking the truth, in learning to think critically, and in preparing for a life of constructive service, honesty is imperative. Honesty in the classroom and in the preparation of papers is therefore expected of all students. Each student has the responsibility to submit work that is uniquely his or her own. All of this work must be done in accordance with established principles of academic integrity.An act of academic dishonesty or plagiarism may result in failure for a project or in a course. Plagiarism involves representing another person's ideas or scholarship, including material from the Internet, as your own. Cheating or acts of academic dishonesty include (but are not limited to) fabricating data, tampering with grades, copying, and offering or receiving unauthorized assistance or information.
3) The Student Conduct Code:
Students will be held to the rules and regulations of the Student Conduct Code as described in the Lincoln University Student Handbook. In particular, excessive talking, leaving and reentering class, phones or pagers, or other means of disrupting the class will not be tolerated and students may be asked to leave. Students who constantly disrupt class may be asked to leave permanently and will receive an F.4) The Core Curriculum Learner Competencies:
All courses offered through the Department of Mathematics and Computer Science require students to meet at least the following out of the 8 Core Curriculum Learner Competencies:(1) Listen and effectively communicate ideas through written, spoken, and visual means;
(2) Think critically via classifying, analyzing, comparing, contrasting, hypothesizing, synthesizing, extrapolating, and evaluating ideas;
(6) Apply and evaluate quantitative reasoning through the disciplines of mathematics, computational science, laboratory science, selected social sciences and other like-minded approaches that require precision of thought;
(8) Demonstrate positive interpersonal skills by adhering to the principles of freedom, justice, equality, fairness, tolerance, open dialogue and concern for the common good.
* The instructor of a given section of the course may make some modifications to the evaluation as well as to the rest of the syllabi including but not limited to; the grade weights, number of tests, and test total points.
**The grading scale guideline includes a 2-point flexibility.
Please consult with the department chairperson for any program updates or corrections which may not be yet reflected on this page _ last updated 11/20/2007.