Office Schedule
n/a
Biography
Welcome to my St. Petersburg College website. At the outset, I thank you for visiting the website and take this opportunity to introduce myself. My name is Lakshminarayan Rajaram.
My graduate education is in both theoretical and applied mathematics. My doctoral degree is in mathematics with concentration being applied statistics. I truly enjoy teaching, and hope to continue teaching for many, many years to come.
Before coming to St. Petersburg College in January 2000, I worked as a biostatistician in the Division of Endocrinology and Metabolism of the Johns Hopkins University Medical School, Clinical Research Division of a pharmaceutical company, TheraTech Inc., and the Institute of Aging at the University of South Florida.
My experience includes teaching both undergraduate and graduate courses in statistics and mathematics, mathematical modeling, pharmacokinetics and bioequivalence, and statistical evaluation of the clinical data from multi-center clinical trials.
In addition to being a Professor of Mathematics in St. Petersburg College, I hold the following faculty positions at the University of South Florida:
Affiliate Professor of Biostatistics in the Department of Epidemiology, College of Public Health
Adjunct Faculty in the Department of Mathematics and Statistics, College of Arts and Sciences
Courtesy Assistant Professor in the Department of Global Health, College of Public Health
Courtesy Professor in the Department of Pharmaceutical Sciences, College of Pharmacy
Associate Affiliate, School of Education, Colorado State University, Fort Collins, Colorado.
I also serve as a member of the Ph.D. committee of students in the Department of Civil Engineering as well as the Department of Health Policy Management at the University of South Florida.
During my time off from St. Petersburg College, I travel and conduct workshops and short courses both in the USA and abroad. Some of the courses I teach abroad are:
Clinical research which includes clinical biostatistics and the design of the clinical databases
Research methodologies in biomedicine and medical infomatics
Computer applications for public health researchers using a statistical analysis software (SAS)
Principles of statistics and mathematics in pharmacokinetics and pharmacodynamics
Categorical Data Analysis, Clinical Epidemiology and Survival Analysis
As a consulting clinical biostatistician, I do collaborative research with physicians in various therapeutic areas, leading to research publications in such journals as Journal of Clinical Endocrinology and Metabolism, Journal of Gynecologic Oncology, Journal of Stochastic Analysis and Applications, Journal of Neurology, Journal of Statistical Theory and Applications, and Journal of Urology.
I am a member of
International Scientific Committee, XIII Mediterranean Conference on Medical and Biological Engineering and Computing, Spain, 2013
Global Advisory Board for the Journal of Emergencies, Trauma, and Shock, Synergizing Basic Science, Clinical Medicine and Global Health
Global Citizen Safety and Security Committee of International Federation for Medical and Biological Engineering (IFMBE). 2013 - 2015
Subjects Taught
Mathematics, Statistics
Course Schedule
= Lakshminara Rajaram has added information specific to this course.
(syllabus, video, class meeting times, etc.)
| 0470 Summer Term 2013 |
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| Course | Section | Campus | Format | Starts | Ends |
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MAC 2233 APPLIED CALCULUS I
| 1198 | TS | Online | May 13 2013 | Jul 19 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAC 1105 or MAC 1106 or satisfactory score on the Mathematics placement test or program director approval. This course is a geometric and heuristic approach to calculus: differentiation and integration of algebraic and exponential, and logarithmic functions, applications to graphing, marginal analysis, optimization and areas. This course cannot be used to satisfy requirements of students majoring in mathematics or engineering. (Credit is not given for both MAC 2233 and MAC 2311.) 47 contact hours. |
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STA 2023 ELEMENTARY STATISTICS
| 933 | TS | Online | May 13 2013 | Jul 19 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of “C” or better (recommend MAT 1033, with a grade of “C” or better taken within the last two years), or appropriate score on the SPC mathematics placement test. This course includes concepts taken from topics which include descriptive statistics, measures of central tendency and dispersion, probability, probability distributions, relative frequency distributions, sampling distributions, binomial distribution, normal distribution, the student's t distribution, the Chi-square distribution, estimation using confidence intervals, hypothesis testing, linear regression , correlation, and nonparametric statistics. Credit is not also given for STA 2023H. 47 contact hours. |
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| 0465 Spring Term 2013 |
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| Course | Section | Campus | Format | Starts | Ends |
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MAC 1105 COLLEGE ALGEBRA
| 1621 | TS | In Class | Jan 7 2013 | May 3 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of C or better (recommend MAT 1033 taken within the last two years), or appropriate score on the SPC mathematics placement test. Major topics include: functions and functional notation; domains and ranges of functions; graphs of functions and relations; operations on functions; inverse functions; linear, quadratic and rational functions; absolute value and radical functions; exponential and logarithmic properties, functions and equations; systems of equations and inequalities; applications such as curve fitting, modeling, optimization, exponential and logarithmic growth and decay. (Credit is not given for both MAC 1105 and MAC 1106). 47 contact hours. |
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MAC 1105 COLLEGE ALGEBRA
| 2506 | TS | In Class | Jan 7 2013 | May 3 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of C or better (recommend MAT 1033 taken within the last two years), or appropriate score on the SPC mathematics placement test. Major topics include: functions and functional notation; domains and ranges of functions; graphs of functions and relations; operations on functions; inverse functions; linear, quadratic and rational functions; absolute value and radical functions; exponential and logarithmic properties, functions and equations; systems of equations and inequalities; applications such as curve fitting, modeling, optimization, exponential and logarithmic growth and decay. (Credit is not given for both MAC 1105 and MAC 1106). 47 contact hours. |
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MAC 1105 COLLEGE ALGEBRA
| 461 | TS | In Class | Jan 7 2013 | May 3 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of C or better (recommend MAT 1033 taken within the last two years), or appropriate score on the SPC mathematics placement test. Major topics include: functions and functional notation; domains and ranges of functions; graphs of functions and relations; operations on functions; inverse functions; linear, quadratic and rational functions; absolute value and radical functions; exponential and logarithmic properties, functions and equations; systems of equations and inequalities; applications such as curve fitting, modeling, optimization, exponential and logarithmic growth and decay. (Credit is not given for both MAC 1105 and MAC 1106). 47 contact hours. |
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MAC 2233 APPLIED CALCULUS I
| 2512 | TS | Online | Jan 7 2013 | May 3 2013 |
|
| Credits: |
3 |
| Description: |
Prerequisite: MAC 1105 or MAC 1106 or satisfactory score on the Mathematics placement test or program director approval. This course is a geometric and heuristic approach to calculus: differentiation and integration of algebraic and exponential, and logarithmic functions, applications to graphing, marginal analysis, optimization and areas. This course cannot be used to satisfy requirements of students majoring in mathematics or engineering. (Credit is not given for both MAC 2233 and MAC 2311.) 47 contact hours. |
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STA 2023 ELEMENTARY STATISTICS
| 1154 | TS | In Class | Jan 7 2013 | May 3 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of “C” or better (recommend MAT 1033, with a grade of “C” or better taken within the last two years), or appropriate score on the SPC mathematics placement test. This course includes concepts taken from topics which include descriptive statistics, measures of central tendency and dispersion, probability, probability distributions, relative frequency distributions, sampling distributions, binomial distribution, normal distribution, the student's t distribution, the Chi-square distribution, estimation using confidence intervals, hypothesis testing, linear regression , correlation, and nonparametric statistics. Credit is not also given for STA 2023H. 47 contact hours. |
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STA 2023 ELEMENTARY STATISTICS
| 1957 | TS | Online | Jan 7 2013 | May 3 2013 |
|
| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of “C” or better (recommend MAT 1033, with a grade of “C” or better taken within the last two years), or appropriate score on the SPC mathematics placement test. This course includes concepts taken from topics which include descriptive statistics, measures of central tendency and dispersion, probability, probability distributions, relative frequency distributions, sampling distributions, binomial distribution, normal distribution, the student's t distribution, the Chi-square distribution, estimation using confidence intervals, hypothesis testing, linear regression , correlation, and nonparametric statistics. Credit is not also given for STA 2023H. 47 contact hours. |
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STA 2023 ELEMENTARY STATISTICS
| 774 | TS | In Class | Jan 7 2013 | May 3 2013 |
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| Credits: |
3 |
| Description: |
Prerequisite: MAT 1033 with a grade of “C” or better (recommend MAT 1033, with a grade of “C” or better taken within the last two years), or appropriate score on the SPC mathematics placement test. This course includes concepts taken from topics which include descriptive statistics, measures of central tendency and dispersion, probability, probability distributions, relative frequency distributions, sampling distributions, binomial distribution, normal distribution, the student's t distribution, the Chi-square distribution, estimation using confidence intervals, hypothesis testing, linear regression , correlation, and nonparametric statistics. Credit is not also given for STA 2023H. 47 contact hours. |
| Times: |
W / 7:00PM - 9:40PM |
| Location: |
BB 003 |
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