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BSC 489: INDEPENDENT STUDY
0.00 - 4.00 Credits
Texas A & M University-Commerce
Independent Study. One to four semester hours. Individualized instruction/research at an advanced level in a specialized content area under the direction of a consenting faculty member. May be repeated when the topic varies. Prerequisite: Consent of department head.%
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BSC 489 - INDEPENDENT STUDY
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BSC 490: H Honors Thesis
3.00 Credits
Texas A & M University-Commerce
Honors Thesis.%
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BSC 490 - H Honors Thesis
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BSC 491: H Ind Honors Readings
0.00 - 4.00 Credits
Texas A & M University-Commerce
Individual Honors Reading.%
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BSC 491 - H Ind Honors Readings
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BSC 497: Special Topics
0.00 - 5.00 Credits
Texas A & M University-Commerce
Special Topics. One to four semester hours. Organized class. May be repeated when topics vary.%
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BSC 497 - Special Topics
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BSC 497L: Special Topics
0.00 - 5.00 Credits
Texas A & M University-Commerce
No course description available.
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BSC 497L - Special Topics
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BSC 500: Graduate Seminar
1.00 Credits
Texas A & M University-Commerce
Graduate Seminar. One semester hour. Discussions and presentations of issues of current interest in the biological sciences and of related career opportunities. Prerequisite: Graduate standing.%
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BSC 500 - Graduate Seminar
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BSC 501: PLANT & AN CLASS
3.00 Credits
Texas A & M University-Commerce
No course description available.
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BSC 501 - PLANT & AN CLASS
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BSC 502: PLANT MORPHOLOGY
3.00 Credits
Texas A & M University-Commerce
No course description available.
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BSC 502 - PLANT MORPHOLOGY
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BSC 503: MICROBIOLOGY
3.00 Credits
Texas A & M University-Commerce
No course description available.
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BSC 503 - MICROBIOLOGY
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BSC 504: Quantitative Biology
3.00 Credits
Texas A & M University-Commerce
Advanced Quantitative Biology - Three semester hours The objective of this course is to provide students with the knowledge and understanding of the methods of statistical analysis applicable to biological research. Emphasis will be placed on the concepts and application of statistical thinking. Basic probability theory, parametric and non-parametric statistics including t-test, analysis of variance, correlation, simple linear regression will be reviewed. Advanced statistical methods including multiple regression, logistic regression, model selection and other quantitative methods will be introduced. Prerequisite: An undergraduate degree in Biology, Wildlife, or related discipline or permission from instructor. %
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BSC 504 - Quantitative Biology
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