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Math 3 Compression Students

You have many choices on which math class to take next.  This would be a great time to think about which pathway best fits your college and career goals.  We recommend 4 years of math to be taken to keep doors open after high school. 

Next Steps for 11th Graders

Quantitative Literacy Pathway

STEM Pathway

Quantitative Literacy Pathway

Precalculus

Precalculus Compression
Math: A Human Endeavor (Dual Credit!) with Probability & Statistics.

  • 2.8 unweighted GPA or higher
  • Dual credit with Eastern Illinois University (just Human End. portion)
  • Topics included in this course will be set theory, logic, and consumer mathematics
  • This course is paired with Probability & Statistics to provide a full year of math credit.
 – This course will go at a similar pace than Math 3

– Oakton Community College and other institutions will look at grade earned in this course along with math placement test and ACT/SAT scores to determine collegiate level placement 

 – Summer bridge would be expected to fill in curricular gaps 

– This course will go at a faster pace than Math 3

– Oakton Community College and other institutions will look at grade earned in this course along with math placement test and ACT/SAT scores to determine collegiate level placement.

Math 4 (Quantitative Literacy or STEM)
Math 4 – STEM or Math 4 – Quantitative Literacy could be the courses for you. These transitional math courses are an introduction to college level mathematics on the Quantitative Literacy and STEM Pathway. With successful completion of these courses (C or better), students will earn a direct transition to a college credit-bearing math course on the Quantitative Literacy and STEM Pathway during their first year of college. This is an amazing opportunity when it comes to saving time and money from having to take an entry math placement test at school or non-credit bearing math courses during your first years of college. 

Next Steps for 9th and 10th Graders

Precalculus 

Precalculus Compression
– Still working towards proficiency in some of the Math 3C learning standards

– Slower pace than Math 3C

– This course’s content/pace is designed to prepare students for AP Calculus AB

 – Proficient in Math 3C learning standards

– Similar pace to Math 3C

– This course’s content/pace is designed to prepare students for AP Calculus BC

Additional Electives Available to You

AP Computer Science Principles

AP Computer Science A 
  • Full year course
  • Designed to help students determine their interest in computer science while learning the basics of programming.  
  • This is a great class for students to take before AP Computer Science A  to help them get ready.
  • Full year course
  • Covers topics included in a full-year introductory college course in computer science
  • Emphasizes programming methodology (including recursion) and procedural abstraction.  

AP Statistics
  • Recommended to be concurrently taken with one of the classes noted on the front side! 
  • Students that are proficient in Math 1, 2, 3, or 3C – earning 3s or 4s on learning standards have found success in AP Statistics.
  • AP Statistics is for the self directed learner committed to seeking extra support when needed.  
  • 4 major components of AP Statistics: experimental design, exploring data, producing models using probability and simulation, and statistical inference.
  • Who uses Statistics?

Everyone who needs to collect and analyze data needs to understand Statistics. That’s every branch of science, of course. And it’s also important in the social sciences (psychology, sociology, anthropology, etc.), in business and economics, in political science and government, in law, and in medicine. There’s a very strong chance YOU will use Statistics in college and in your career.

Data Science
  • Recommended to be concurrently taken with one of the classes noted on the front side! 
  • EXCELLENT math elective course for all levels of students.  
  • How is Data Science different from Statistics?

Statistics is more about the calculations where Data Science is more about exploring real-world questions by looking at patterns in our data.  In Data Science students will be challenged to represent data in different ways. Students will learn to be data explorers in project-based units, through which they will develop their understanding of data analysis, sampling, correlation/causation, bias and uncertainty, probability, modeling with data, making and evaluating data-based arguments, and the power of data in society.

**If you are college bound, considering taking this as a second math course (elective), but not in place of any of the others listed.