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(Last revised 9/3/2018)
Day class: Lecture (001): 3:35 P.M. - 4:25 P.M. Monday, Wednesday, Friday Keller 3-210
Labs:
Night class: Lecture (010): 6:30 P.M. - 9:00 P.M. Tuesday Tate Hall 101
Labs:
Instructor:
Name | James Parker |
jparker (at) cs (dot) umn (dot) edu | |
Office | Shepherd Laboratories 391 |
Office Hours | Please see the "Office Hours" file on the class homepage (below). |
Class homepage | http://www-users.cselabs.umn.edu/classes/Fall-2018/csci1113/ |
TAs: There are a number of TAs for the course. Their names, contact information, and office hours are posted in the "Office Hours" page on the class homepage.
Text: Walter A. Savitch, Problem Solving with C++ Pearson, (10th edition). There may also be other resources linked to the class web page.
Notes about the textbook:
Class Website: Announcements and information are provided through the class cs homepage and Moodle webpage. It's important to stay abreast of the information on the site as it is important and may change occasionally.
General course description: This course covers algorithm development and the principles of computer programming using the programming language C++. Topics include introduction to computers and computing, program development, C/C++ programming language syntax, and elementary numerical methods for scientists and engineers.
Prerequisites: CSci 1113 does not assume any previous programming knowledge; however, it does have a prerequisite of Calculus 1 (either Math 1271 or Math 1371 or Math 1571H or instructor consent). Some material from Calculus I will be used in 1113; moreover, the mathematical and logical reasoning skills used in Calculus I also play a significant role in this class.
Course Content and Components: The course involves 2.5 hours of lecture and 3 hours of "hands-on" computing lab per week. In addition you should expect to spend 5-10 hours per week on independent homework and reading assignments.
Here is further information about the different parts of this course. "Assignment and Grading Policies," "Tips for Doing Well," and Collaboration Rules."
What you should expect to learn from this course: Upon successfully completing this course you should be able to:
Grading:
Here is the amount each of the items will contribute to your overall grade:
Labs 15% Individual Homework 30% Quiz (Week 5: Day 10/3, Night 10/2) 5% Midterm 1 (Week 7: Day 10/17, Night 10/16) 10% Midterm 2 (Week 12: Day 11/21, Night 11/20) 15% Final Exam (Week 16: Day 12/17 at 8:00am, Night 12/18 at 6:30pm) 25%
Please note the important dates above carefully, as make-ups will be given only under extreme circumstances.
Grading for this course is on an absolute scale, so that the performance of others in the class will not negatively affect your grade. Final grades will be assigned based the following scale:
93.0% -- 100.0% A 90.0% -- 93.0% A- 87.0% -- 90.0% B+ 83.0% -- 87.0% B 80.0% -- 83.0% B- 77.0% -- 80.0% C+ 73.0% -- 77.0% C 70.0% -- 73.0% C- 67.0% -- 70.0% D+ 60.0% -- 67.0% D 0% -- 60.0% FFor S/N grading, a satisfactory grade (S) requires a weighted score of 70 or above.
Incompletes: will be given only in very rare instances when an unforeseeable event causes a student who has completed all the coursework to date to be unable to complete a small portion of the work (typically the final assignment or exam). Incompletes will not be awarded for foreseeable events including a heavy course load or a poorer-than-expected performance. Verifiable documentations must be provided for the incomplete to be granted, and arrangements for the incomplete should be made as soon as such the unforeseeable event is apparent.
Expected effort and participation: This is a four credit class that involves considerable effort. Most students find that this class requires 10 -- 15 hours of work during most weeks.
Withdraws: You are free to withdraw from the class up to the end of the tenth week of classes. Withdrawing thereafter is up to the college, and is not automatic. If you are not doing as well as you had hoped and are considering withdrawing, please do so by that date.
Scholastic conduct: The amount of collaboration allowed on assignments is detailed here. In general, you are free to discuss assignments with others, but you must work out and write your own solutions. Copying others' answers, or letting another person copy your answers is a serious situation and can result in failing the course. If you have any questions about what is and is not allowable in this class, please ask the course instructor.
Disability Accommodations: We desire to make learning rewarding and fun for all students and make every attempt to accommodate anyone who has a desire to learn. If you require special classroom or test-taking accommodations, you need to contact the University Disability Services and also notify the instructor as soon as possible at the start of the semester (no later than 3 weeks prior to the first examination).
Students Mental Health and Stress Managment: As a student you may experience a range of issues that can cause barriers to learning, such as strained relationships, increased anxiety, alcohol/drug problems, feeling down, difficulty concentrating and/or lack of motivation. These mental health concerns or stressful events may lead to diminished academic performance or reduce a student's ability to participate in daily activities. University of Minnesota services are available to assist you with addressing these and other concerns you may be experiencing. You can learn more about the broad range of confidential mental health services available on campus via http://www.mentalhealth.umn.edu/.
Other: Please check your registration carefully for accuracy.