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College of Science Department of Chemistry Course Code: CHEM-4471 Course Title: Industrial Inorganic Chemistry General Information Number of Credits: Instructional Format: Contact Hours/Week: Prerequisite: Co-requisite: Assessment: Grading (A–F, Pass/Fail): Textbook: References (optional): 3 2 hours Lectures + 3 hours Lab 5 CHEM-4411, Inorganic Chemistry None Midterm Exams, Laboratory Work, Final Examination Grading (A – F) Industrial Inorganic Chemistry 2nd edition, Karl Heinz Büchel, Hans-Heinrich Moretto, Peter Wodistsh. 2000 John Wiley &sons Ltd. ISBN: 978-3-527-29849-5 (IIC) + Lecture notes (LN)/handouts/Assignment - 1. Course Description In this course students will learn the preparation of some industrial inorganic products and the challenges facing their production. It will cover the following topics: Sulfur industry, Nitrogen based industrial products, inorganic solvents, mineral fertilizers, industrial and domestic water production, Industrial gas productions, inorganic solids, cement, glasses, and pigments. Emphasis is on learning the importance of inorganic chemical industry, their economic impact, individual chemical processes and production challenges. The laboratory component is designed to reinforce the subject matter learnt in lectures and to help students develop practical skills relevant to inorganic chemical industry. 2. Course Objective (1) To study the preparation of inorganic solvents and compounds. (2) To understand the factors involved in the production of such compounds. (2) To specify the challenges faced in such preparations. 3. Learning Outcomes (a) Knowledge and Understanding At the end of the course, students will be expected to be able to: I. II. III. IV. Outline the preparation of some important inorganic products Understand the usefulness of industrial inorganic chemistry Have knowledge of the experimental factors involved in preparations of inorganic compounds. Think how this industry can be improved. (b) Skills On successful completion of the course, you will be able to: I. II. III. Describe the preparation of some common industrial inorganic products. Contrast preparations used in the inorganic industries with those in the organic industry. Devise a suitable method for preparing a given inorganic product 4. Assessment Assessment Criteria Learning outcomes: By the end of the course, students will be able to: Recognize the notion of probability and common probability models and their properties in both discrete and continuous distributions Express probability models of any real life probabilistic circumstances . Use and interpret the results of probability distributions and the notion of joint and conditional distributions. Compute the various probabilities and statistics relevant to the problems and manipulate and use common probability tables Model and solve bivariate probability models. A B Wellgrounded knowledge of the theory of different probability distributions and their properties. An all-round knowledge of the various probability distributions and their properties Building of realistic probabilistic models of real life phenomena well-grounded in probabilistic theory. Mastery use of the various joint and conditional probability distributions, and the clear and proper interpretation of results.. Excellent analytical skills of the probabilities studied, and related statistics and the correct use of probability tables. Accurate and well thought out formulation and correct solutions of models of bivariate distributions Assessment criteria C D F An acceptable knowledge of probability distributions and their properties. A bare knowledge of the probability distributions, and their distributions. A lack of knowledge of the basics of probability distributions and their properties. Good probabilistic models of real life phenomena based on sound probabilistic theory Acceptable probabilistic models of real life phenomena based on some probabilistic theory. Less than satisfactory probabilistic models to suit real life phenomena. Unrelated model to real life phenomena or complete inability to do so. Good application of joint and conditional distributions and proper interpretation of results. Acceptable use of joint and conditional distributions and the interpretation of their results. Limited evidence of skill to analyse joint and conditional distributions or interpret the results. Evidence of lack of acquired skills to solve joint and conditional distributions problems. Demonstrati on of good computation al skills of the probabilities studied, and the use of probability tables. Satisfactory computation of the probabilities studied, and the use of probability tables. Barely able to compute the various probabilities and having some difficulty using the probability tables. Mostly incorrect computations of probabilities studied, and cannot make much sense of the probability tables. Appropriate formulation and solution of models of bivariate random variables. Satisfactory modelling of bivariate random variables and analysis. Limited evidence of grasp of modelling and analysing bivariate probability models. Inability model analyse correctly bivariate probability models. to or based on sound theory Learning outcomes: Employ appropriate mathematical tools learned in previous mathematics courses to solve probability problems A Correct manipulations of various algebraic expressions, use of methods of differentiation, and integration of simple algebraic functions, including double integration. B A good grasp of the mathematics required in the course, such as differentiatio n, and integration, and sequence summation. Assessment criteria C D Satisfactory Less than manipulation of manipulation simple algebraic of simple expressions, algebraic differentiation, manipulations, integration and differentiation, sequence integration and summation. sequence summation learned in previous mathematics courses. F No demonstrative evidence of ability to use previous knowledge of mathematics learned in previous mathematics courses in this course. 5. Course Structure The course is designed to be delivered in one semester of 15 weeks with 4 contact hours per week (2 hours for tutorial and 2 hours for theory). The course weight is 3 credit hours. 6. Topics Unit/Chapter 1 2 3 Topics Hydrogen and hydrogen peroxide Nitrogen and its compounds Mineral fertilizers Sections Industrial Gases Weeks 1 (a) Ammonia. (b) Nitric acid (a) Ammonium salts. (b) Phosphorus containing fertilizers. (c) Potassium containing fertilizers. 2-3 st 4 5 6 7 8 9 10 12 1 Midterm Exam Sulfur and sulfuric acid Phosphorus and Phosphoric acid Inorganic solids (a) Silicates. (b) zeolites. Ceramics Cement industry Glass industry nd 2 Midterm Exam Inorganic pigment industry Portable water production 4-5 6 7 8 9-11 13 14 15 16 7. Lab/Industrial Visit The experiments will be designed to exemplify and support the lecture material. 8. Industrial Visit The course will be supported by relevant industrial visits.