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Jordan Parker
Jordan Parker

Bsc 1st Year Maths 119.pdf _HOT_


MAT 099/Orientation to Mathematics and Statistics0 course units(seven weeks long, every semester)Required as an entry course of all entering first-year students enrolled in majors offered by the Department of Mathematics and Statistics. Topics covered include degree requirements, general information about the college and services offered, career opportunities in mathematics and statistics, academic standards and integrity, study habits and time management, and resume development. General and personal advisement relative to pursuit of the major and the degree is also included. Click here for syllabus (PDF).




Bsc 1st Year Maths 119.pdf



MAT 200/Proof Writing through Discrete Mathematics1 course unit(every semester)Prerequisite: MAT 127MAT 200 is primarily an introduction to proof course. It teaches proof using topics from discrete mathematics. It is intended to be first-year course for prospective mathematics majors. It will be scheduled for two 80-minute lecture periods and a 50-minute recitation devoted to proof-writing activities. MAT 127: Calculus A is a prerequisite. Click here for syllabus (PDF).


MAT 275/Sophomore Seminar1/2 course unit(every spring)Prerequisite: MAT 200; MAT 205 (prerequisite or corequisite); Mathematics major in their second year of college or have Sophomore standing.A seminar course designed to help sophomore mathematics and statistics majors develop professionally. Students will work through enriching curriculum modules and challenging stratified problems that may involve discipline specific technological tools. Students will discuss advanced disciplinary texts, career opportunities, internships, and questions of habits of mind and professionalization in mathematics and statistics (with examples including the graduate school application process, potential career progressions, post graduate level work, and issues of diversity and representation inequity in mathematics). Click here for syllabus (PDF).


MAT 330/BIO 330/Mathematical Biology1 course unit(Every other year, usually fall)Prerequisites: MAT 128 is a prerequisite, and MAT 205 is a corequisite. An interest in biology is recommended for MAT 330. MAT 128 and BIO 201 are prerequisites for BIO 330.In this course, we will focus on building and analyzing dynamic mathematical models (models that study how processes change in time) to understand the behavior of different biological systems. This course will focus on a variety of topics in population biology, physiology and the biomedical sciences such as single and competing species models, pharmacokinetic models of drugs and toxins, enzyme reaction kinetics, epidemiology, infectious diseases and cancer. We will use mathematical tools like difference equations, differential equations, linear algebra and nonlinear analysis to study these biological processes. Further, computer software packages, such as MATLAB, will be used to implement these mathematical models in search of answers to biological questions. When possible, numerical simulations of the models will be run in MATLAB to compare model outputs to experimental data. Click here for syllabus (PDF).


MAT 331/Numerical Analysis1 course unit(Every other year, usually fall)Prerequisites: MAT 128 and MAT 205Numerical Methods is a course which focuses on methods of approximating solutions to problems for which the techniques of the earlier Calculus and Linear Algebra courses fail. A course covering methods of approximation, errors in approximation, and efficiency of algorithms.Click here for syllabus (PDF).


STA 307/Data Mining and Predictive Modeling1 course unit(spring of even years)Prerequisites: (CSC 220 or CRI 215) and STA 215An introduction to data mining, focusing on classification and clustering. Classification topics include traditional statistical classifiers and new computational methods, such as random forests and support vector machines. Clustering topics include the use of different methods, metrics, and ensembles. Click here for syllabus (PDF).


STA 318/Operations Research1 course unit(fall odd years)Prerequisite: MAT 316An introduction to that portion of Operations Research which deals with probabilistic techniques. Topics include: forecasting, queuing models, inventory control and simulation. Students will become conversant with a number of operations research software packages. Click here for syllabus (PDF).


MTT 490/Clinical Practice II2 course units(every semester)Prerequisites: MTT 390 and meeting all the criteria for admission for student teaching including completion of STA 216, MAT 301, MAT 351, and MAT 305, and all but at most 3 of their required mathematics courses, at least C+ in MTT 390, and cumulative average of at least 3.0.Corequisite: SED 498Student Teaching during the senior year under direct supervision of approved public school and general supervision of college supervisors. Observation, participation, and responsible teaching. Click here for syllabus (PDF).


MTT 491/Global Student Teaching2 course units(every semester)Prerequisites: MTT 390 and meeting all the criteria for admission for student teaching including completion of STA 216, MAT 301, MAT 351, and MAT 305, and all but at most 3 of their required mathematics courses, at least C+ in MTT 390, and cumulative average of at least 3.0.Corequisite: SED 498Student teaching abroad during the senior year under direct supervision of approved public school and general supervision of college supervisors. Observation, participation, and responsible teaching. Student will spend half of the semester abroad and half in a local school. Click here for syllabus (PDF).


Other EducationBlanco has taken various other courses to remain current in the field. She attends many conferences as well. A few years ago, she took PHIL 104 and MATH 128 at JJC. She enjoys putting herself in uncomfortable positions by taking on challenges.


The Flexible Method (Percent Over n Months Prior) is similar to Method 1, Percent Over Last Year. Both methods multiply sales data from a previous time period by a user specified factor, then project that result into the future. In the Percent Over Last Year method, the projection is based on data from the same time period in the previous year. The Flexible Method adds the capability to specify a time period other than the same period last year to use as the basis for the calculations.


n = the range of sales history data to include in the calculations. Generally one year of sales history data is sufficient to estimate the general level of sales. For this example, a small value for n (n = 3) was chosen in order to reduce the manual calculations required to verify the results. Exponential smoothing can generate a forecast based on as little as one historical data point.


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