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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.