Rutgers Univ: Analytical Methods in Chem & Biochem Eng (155:507) - Fall 2018 | Study notes Chemical Instrumentation and Analysis

RUTGERS UNIVERSITY

Department of Chemical and Biochemical Engineering

155:507 Analytical Methods in Chemical & Biochemical Engineering (3 credits) Fall 2018

(Course Section: 02)

Professor: Dr. Shishir Chundawat

Office Location: SOE C150A

Office Phone: (848) 445-3678

Email: shishir.chundawat@rutgers.edu

Teaching Assistant: Markus Hackl

Office Hours: By Email Apppointment Only

Office Hours Location: SOE C001

Email: mh1158@scarletmail.rutgers.edu

Class Timings: Wednesdays at 5:00-8:00 p.m.

Class Location: Science & Engineering Resource Center - Room 207

https://dcs.rutgers.edu/classrooms/science-and-engineering-research-center-room-207

Course Description:

Matrices & Linear Algebra, First and higher order ODEs, Numerical solutions to ODEs, Systems of

Differential Equations, Linear and nonlinear PDEs; Using Matlab to solving chemical and biochemical

engineering relevant ODE focused problems.

Course Objectives and Outcomes: In this course, students will develop the necessary mathematical tools to

address advanced chemical engineering problems using a quantitative formulation. Analytical solutions to

deterministic mathematical models encountered in chemical and biochemical engineering, including

environmental and safety systems. Emphasis is on purpose, philosophy, classification, development, and

analytical solutions of models occurring in transport phenomena, thermochemical, and reactor systems.

PREREQUISITES

In addition, undergraduates are expected to have a solid background in calculus (differential and integral

calculus), differential equations, linear algebra, thermodynamics, fluid mechanics, and chemical kinetics or

require special permission of the graduate director/course instructor. Students are expected to be fairly

conversant with setting up basic elemental balance equations (e.g., mass, momentum, energy) for a variety of

chemical engineering problems as covered in a typical undergraduate program. Please review additional

reference material to review these concepts as a pre-requisite for this course (one example reference textbook

to review similar concepts is given below).

• Bird, R.B., Stewart, W.E., and Lightfoot, E.N. Transport Phenomena, John Wiley & Sons, 2nd Edition.

REFERENCE TEXTBOOKS AND SOFTWARE

Textbooks: In this course we will be referring to multiple textbooks and journal publications to closely

examine analytical and numerical methods used to solve problems in chemical/biochemical engineering.

However, Rice and Do is the required textbook that will be closely followed by the instructor.

• Rice, R.G. and Do, D.D. Applied Mathematics And Modeling For Chemical Engineers, Wiley, 2nd

Edition, 2012. (For each lecture, students are encouraged to review assigned chapters from this textbook.

See course timetable for details.)

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Department of Chemical and Biochemical Engineering 155: 507 Analytical Methods in Chemical & Biochemical Engineering (3 credits) Fall 2018 (Course Section: 02 ) Professor : Dr. Shishir Chundawat Office Location: SOE C150A Office Phone: (848) 445- 3678 Email: shishir.chundawat@rutgers.edu Teaching Assistant: Markus Hackl Office Hours: By Email Apppointment Only Office Hours Location: SOE C Email: mh1158@scarletmail.rutgers.edu Class Timings: Wednesdays at 5 :00- 8 :00 p.m. Class Location: Science & Engineering Resource Center - Room 207 https://dcs.rutgers.edu/classrooms/science-and-engineering-research-center-room- 207 Course Description : Matrices & Linear Algebra, First and higher order ODEs, Numerical solutions to ODEs, Systems of Differential Equations, Linear and nonlinear PDEs; Using Matlab to solving chemical and biochemical engineering relevant ODE focused problems. Course Objectives and Outcomes: In this course, students will develop the necessary mathematical tools to address advanced chemical engineering problems using a quantitative formulation. Analytical solutions to deterministic mathematical models encountered in chemical and biochemical engineering, including environmental and safety systems. Emphasis is on purpose, philosophy, classification, development, and analytical solutions of models occurring in transport phenomena, thermochemical, and reactor systems. PREREQUISITES In addition, undergraduates are expected to have a solid background in calculus (differential and integral calculus), differential equations, linear algebra, thermodynamics, fluid mechanics, and chemical kinetics or require special permission of the graduate director/course instructor. Students are expected to be fairly conversant with setting up basic elemental balance equations (e.g., mass, momentum, energy) for a variety of chemical engineering problems as covered in a typical undergraduate program. Please review additional reference material to review these concepts as a pre-requisite for this course (one example reference textbook to review similar concepts is given below).

Bird, R.B., Stewart, W.E., and Lightfoot, E.N. Transport Phenomena, John Wiley & Sons, 2nd Edition. REFERENCE TEXTBOOKS AND SOFTWARE Textbooks: In this course we will be referring to multiple textbooks and journal publications to closely examine analytical and numerical methods used to solve problems in chemical/biochemical engineering. However, Rice and Do is the required textbook that will be closely followed by the instructor.
Rice, R.G. and Do, D.D. Applied Mathematics And Modeling For Chemical Engineers, Wiley, 2nd Edition, 2012. (For each lecture, students are encouraged to review assigned chapters from this textbook. See course timetable for details.)

Other reference texbooks are also listed below as well. The student are welcome to consider referring to other suitable undergraduate/engineering mathematics textbook to brush up on basics of ODEs and Matrix Algebra. Chemical engineering analytical/numerical methods specific references

Beers, Kenneth. Numerical Methods for Chemical Engineering: Applications in MATLAB®. New York, NY: Cambridge University Press, November 2006.
Varma, Arvind and Morbidelli, Massimo. Mathematical Methods in Chemical Engineering. Oxford University Press. 1997.
Cutlip, M.B. and Shacham, M. Problem Solving in Chemical and Biochemical Engineering with POLYMATH, Excel, and MATLAB, Pearson, Second edition.
Loney, Norman W., Applied Mathematical Methods for Chemical Engineers, CRC Press – Taylor & Francis Group, Boca Raton, 2nd^ edition, 2007. Advanced mathematics specific references
Zill, D.G. and Wright, W.S. Advanced Engineering Mathematics. Jones & Bartlett Publishers, Fifth edition. (For each lecture, students are highly encouraged to review assigned chapters from this textbook to review additional basics before attending the lecture. See course timetable for details. )
Kreyszig, E. Advanced Engineering Mathematics. Wiley, 10 th^ Edition, 2011. MATLAB Software: This is a numerical computing software package that can be used for solving problems relevant to this course and working knowledge of Matlab is a pre-requisite for this course. Students are expected to self-learn using this software for solving homework problems or projects, if they are not familiar with it. It is installed on all computers in the Microcomputer Laboratory (rooms C233, C241, B125, and D110). Students can also access Matlab in the campus computing labs or via http://apps.rutgers.edu. Material to help with learning how to use Matlab is freely available online in video format from MathWorks (https://www.mathworks.com and https://matlabacademy.mathworks.com). The following textbooks could also be used to help learn Matlab for beginners; D. Hanselman and B. Littlefield, ”Mastering MATLAB 7,” Pearson, NJ (2005) W.J. Palm III, “Introduction to MATLAB 7 for Engineers: McGrawHill (2005) CLASS PARTICIPATION, HOMEWORK AND GRADING POLICY Homework problems will be assigned, collected, and graded on a regular basis during the semester. All homeworks will be posted on the Sakai course webpage. Students are requested to turn in their homework assignments in-class (unless specifically instructed otherwise). No late homeworks will be accepted. There are going to be several unannounced quizzes held in class. There will be one midterm exam, one final exam, and a term project. Class participation and attendance are critical to do well in this course ( additional instructions regarding class attendance and homework submission policy will be given in class ). The course grade will be determined as follows: Surprise Quizzes 5% Homeworks 20 % Mid-Term Exam 30 % Final-Term Exam 30 % Project 15 %

Rutgers Univ: Analytical Methods in Chem & Biochem Eng (155:507) - Fall 2018, Study notes of Chemical Instrumentation and Analysis

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