If you will be taking calculus (MT 133/4/5/6) and you do not already own a TI-82, TI-83, or TI-84 calculator, then you should buy a TI-83, TI-83 Plus, or TI-84 Plus. Please do not plan to use a calculator other than the models listed above, since your instructor will be assuming that you will have one of those models. In particular, calculators such as the TI-81 and TI-85 do not have all of the features of the TI-82/3/4 that you will need in the course.
If you will be taking third-semester calculus (MT 233), you should check with your instructor before purchasing a new calculator. Students in other mathematics and statistics courses will need a scientific (but not necessarily a graphing) calculator. Most instructors will not allow the use of calculators having symbolic manipulation capability, such as the TI-89, TI-Nspire CAS, or TI-92.
The TI-83 Plus and TI-84 Plus are essentially the same as the TI-83. Their main added feature is a “flash memory” that can be upgraded over the internet by connecting to the Texas Instruments web site. This assures that the calculator can be upgraded whenever TI releases a new version of the calculator’s operating system. The TI-84 Plus is also somewhat faster. The “Silver Edition” of these calculators comes with a USB link cable that can be used to connect the calculator to a computer. The TI-83 Plus and TI-84 Plus can be found at most stores that sell graphing calculators.
If you are uncertain about the course you will be taking, please wait until you register before buying your calculator.
All peer tutoring in math, statistics, computer science, and data science will be managed by the Learning Commons. The Learning Commons is staffed by tutoring professionals, graduate assistants, and advanced undergraduate students, and is available on a walk-in basis.
You must be a John Carroll student in order to use these Peer Learning Services.
Check the Learning Commons web page for hours of operation. Check for updates throughout the first few weeks of the semester.
The University has a number of computer labs for student use.
One of these labs, in Dolan E223, is reserved for students to use in conjunction with the computer science or mathematics courses they are taking this semester. This lab also serves as a Tutoring Center for students taking CS courses.
For work not related to a CS or MT class, please use one of the general-use labs, such as the one in Dolan E337.
Mathematics and Computer Science PC Lab, Dolan E223
All peer tutoring in math, statistics, computer science, and data science, which used to be in the PC Lab, Dolan E223, will be managed by the Learning Commons this year. Check the Learning Commons web page for hours of operation.
Please note that this lab may periodically close for use by a class during these hours.
For work not related to a CS or MT class or at times when the MT/CS lab is not open, please use one of the general-use computer labs, such as the one in Dolan E337. This lab is open only as indicated above.
Career and Graduate School Information
- Mathematical Sciences Career Information
- ACM pages — for Computer Science
- IEEE pages — for Computer Science and Engineering
- American Statistical Association
- Actuarial sciences
- FEDWORLD — a listing of job opportunities in the federal government
- MAA Student Page — for Mathematics
- SIAM career information page — for Applied Mathematics
- PhDs.Org — information on undergraduate research opportunities, graduate programs, and employment issues for people with postgraduate degrees.
Mathematics and Computer Science Pages
- The Mathematical Association of America
- Ohio Section of the MAA
- The American Mathematical Society
- Association for Computing Machinery
- The American Statistical Association
- Cleveland Chapter of the ASA
- Mathematical Quotation Server
- MacTutor History of Mathematics Archive
- History of Mathematics Homepage
- Biographies of Women Mathematicians
- The Mathematics Archives
- Math Forum
- Interactive Statistics Package (ISEP)
- Mathematical Vignettes
Welcome to ISEP, an interactive statistics package designed to help college students learn statistics at the introductory level. Please note that to be able to run the following pages your computer must have a browser capable of supporting applets written with JDK1.1.5. Also for best results, your machine should be IBM-PC compatible with 133 MHz Pentium or higher.
The following lessons are designed to be very vague in nature. This is to allow the students to discover the statistical concepts for themselves. Also this is not to be considered a stand alone product. ISEP was designed with the intention that students would be provided with some instructions, questions, and goals by their supervising professor.
Please choose a lesson to start with. Also, please note to return from any of the lower pages simply click on the “BACK” button provided by the browser.
Lesson 1: Mean Lesson 2: Standard Deviation Lesson 3: Linear Regression Lesson 4: Central Limit Theorem Lesson 5: Power Lesson 6: Monty Hall Lesson 7: Triangle Inequality Theorem Lesson 8: Confidence Interval Lesson 9: Quincunx